{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. 趋势理论_均线篇\n",
    "*用Python量化你的技术分析*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 目录\n",
    "- 均线是什么？\n",
    "- 不同均线是怎么计算的？\n",
    "- 均线如何用图表显示？\n",
    "- 如何用均线构建策略？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 均线是什么？\n",
    "均线理论是当今应用最普遍的技术指标之一，它帮助交易者确认现有趋势、判断将出现的趋势、发现过度延生即将反转的趋势。另外均线与趋势是西蒙斯被TED采访时提到的关键词，因此做量化你必须懂，而且是深入地懂这两个词的真正意义。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 不同均线是怎么计算的？\n",
    "---\n",
    "\n",
    "### 1. Simple Moving Average 平滑价格\n",
    "\n",
    "$MA_n=\\frac{X_1+X_2+...X_n}{n}$\n",
    "\n",
    "---\n",
    "\n",
    "### 2. Weighted Moving Average 用权重方法突出前段\n",
    "\n",
    "$W_t=\\frac{w_1P_{t-n+1}+w_2P_{t-n+2}+...+w_{n-1}P_{t-1}+w_nP_t}{w_1+w_2+...+w_n}$\n",
    "\n",
    "$w_1<w_2<...<w_n$\n",
    "\n",
    "---\n",
    "\n",
    "### 3. Triangular Moving Average 突出中间,用于周期分析\n",
    "\n",
    "$TMA_5=\\frac{P_1+2P_2+3P_3+2P_4+P_5}{9}$\n",
    "\n",
    "---\n",
    "\n",
    "### 4. Exponential Moving Average 用指数方法突出前段\n",
    "\n",
    "$EMA_t=\\frac{a^nP_{t-n+1}+a^{n-1}P_{t-n+2}+...+a^2P_{t-1}+aP_t}{a^n+a^{n-1}+...+a^2+a}$\n",
    "\n",
    "$EMA_t=α*Price_t + ( 1 - α ) * EMA_{t-1}$\n",
    "\n",
    "$α为平滑指数，一般取作2/(n+1)$\n",
    "\n",
    "---\n",
    "\n",
    "### 5. Double Exponential Moving Average 突出EMA,减少滞后。\n",
    "\n",
    "$DEMA = 2*EMA-EMA(EMA)$\n",
    "\n",
    "---\n",
    "\n",
    "### 6. Kaufman Adaptive Moving Average 自适应自适应市场变化与波动\n",
    "\n",
    "$ER = Change/Volatility$\n",
    "\n",
    "$Change = ABS(Close - Close (10 periods ago))$\n",
    "\n",
    "$Volatility = Sum_{10}(ABS(Close_t - Close_{t-1}))$\n",
    "\n",
    "$\\text{Volatility is the sum of the absolute value of the last ten price changes (Close - Prior Close)}$\n",
    "\n",
    "$SC = [ER * (fastest SC - slowest SC) + slowest SC]^2$\n",
    "\n",
    "$SC = [ER * (2/(2+1) - 2/(30+1)) + 2/(30+1)]^2$\n",
    "\n",
    "$Current KAMA = Prior KAMA + SC * (Price - KAMA_{t-1})$\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 均线如何用图表显示？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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MDw4w0n6CgTE/7c4FfO+zW1hY4MZm1i4Z9BYWujGpCi0jAe5rLLrsPvgKi2ncejfte16l\nbc8uVt33QVlrTVxVE8E4t76JkWQ9k6F976tE5vyUVFbw/ECCP129HjJpMqkU6VQKi82Gy5dDR1Dh\naz9sYmVjDf/tM+uwmFT+ImbhGy928uCKEj65vhKzbZqdA3soN+VT9voEk73NBMbNJBJ20oaBYg2Q\nm99FfpmBZfW9UL4eFIVsl41+DIoX+hjtmiORMShd6MOZa0dRFEqLXZQsqubJX/07h8LHKF32cdyv\nd6C8+AK2e7ahuAuwlJfje/hhYseOEe/oINHVjepyYatfhG3RIjTv1Ss2dKN6q0HtU8Afnbz+C+B7\nF9vQMIzvAt8FWL16tSxLLoQQQghG5uYX7y312S+77ZpKH4uLPPxobx8fWVFIy86XmBifvGSREUeW\njz7vQpK2IMvLvNjMlx+Js5o0FhS4OT4SIBBN8fXnT3DLAju1RSrZtmxy7Dnnt+PJYsH6W2h+8RnG\nezoprV9y2XaEuBLRZJpQPE2+58qmPup6hu6m/YRmpli4YTPTsxrfHzrKpCmHZVXnhpphf5QvPbqH\n4iwb//aJVVhM86NUn99czec2VRFKhTgwdoCuvi4KAyrL26aZnFZIUohuBnPuHCVFA3i9CZTcRqjY\nCJ4z1VJ9TjO9UxFKF2VjdZgZODFD6+5R7G4LuaUuckpdWGwmli3eyOjOn/KqcoQH1m4heeAAvPgM\ntnvuR3Fko2Vl4dq8GefGjST7+4m3tRFtOkz0UBPm0lI899yN6rj46Pe73VsNaqPAbcBOYCvQdbU6\nJIQQQoib37A/htOiXVFFR0VR+PQtlfz5L17n5z9/kkPHe9iTKeF7X9hMtc9KKpkgnUySTibJpFJ4\nCwtx5+Tx/3xzDyuuMKSd0lDs4vnuFj70yD6GQoM81pVho8PEbT4r+WkLpbZCSlwlWLSzDp4VsM3O\nMfDi83iTOvaaajSXnLMm3p7Jk2uoFbhtF90mk04zNzHG7MgQ/rFR0skE5Y3LySktY60njqrAD/b0\n8Y2PLj895TecSPPZHzWRSOv87Atr8J21gPZ0bJqjk0fpnutGMWDdbDZlJ6YIJcpIWr1YfDMUFPbj\n8apQtAyKV4L9/JGtbKeVppPLA+SVu8kucjI7FmFqKMRQ2yzDHX6y8u24swsoc5XRNzxE19pZFq5a\nTaLpIMpL27Hd/SBY579HismEtbYWa20tmXCYRHs70UOHCL3yCp777rtpq69eSXn+R5mv6JirKMow\n8DfA54F/URTFBMQ5ObVRCCGEEOJKjMzFKPHZr/gA6/2NhTz66ABP7p5myFNDzJHLvx+Y5N8/ueqC\n2wfjKU6MBviDrXWXfW3DMBiNjNI520nU0UTMPMLonJm/KKjE3D5J195JvEWzuLwR+tXXGdRs5DkL\nKcyqwG3LQVEgJ2XQOTjI4PYnyXN7MeXloWV5UJ3OMxeX68x1mSIpLuP0Gmqec4NaJp1mdmSImZEh\n5sbH0DNpTBYrvqJickor8BXNj2zle2x85c4F/PMLnawo8/I7t1SR0Q3+6NGjdE+F+dGn11CT52Q2\nPstEZILuuW6GQkOYVTNLs5dQ1xlBae0mk11LctyJ1T5IzdIESukdUNAA2sV/ZMlxWvBHk+i6gaoq\naGaVvHI3eeVuYuEk00NhpofCzI2ncegF+MJRDk00UVv/W1hSK0i8fhhl51NY73oY3rBAtuZy4Vi9\nGlSNyJ49JDo7sS1ceJXf/RvDlVR9/K2LPHTh/xmFEEIIIS5jxB+jxHv5aY8wH6RGmg+ztQieDdTx\nb1/Yxs6OSb7xYhfHRwIXPMetqX8W3YD11edPVzxlOjZNp7+TLn8XkVQEs2pmQ1k9LXvcfDUrw5KQ\ngXnpAp5lgozXwm2bVjCjJzkR6ud4cpojxgS5Fg8NvoUsKFhOsLuMcDBCRWUtqZFR0jOz6INDGMnk\neW0rZvPp4GatrcG2RNZkE+eaCJ0cUXvD1MfeIweZGujDYrOTX1lNdkkZnrw8VPX8keMv315L83CA\nf9jeRttYiNFgiN19PXzuDh9z6n5+cHySRGa+HafZyfqi9SzOrif58mvEO7rRapcxN2yFzDBla20o\nqz8BV/A5zXZa0A0IxFLnjNgB2F0WyuqzKV3oY+DEDIFJLzmRLPqjMfaP72fryq0Y0SiJzuOYu/ai\nLtx0wTbsy5eR7O0hvOtVzCWlaC7nFb2v7yZvdeqjEEIIIcRbNjIXY2XFlRUDGGk7wWR/D/e/bzO/\n39CIoihU5zn5we4+vvFiF9/71OrznrO/dxaLprKi/Nw2oqko7bPtdPm7mInPoCgK5e5yNhZvpDKr\nkkxnD/cUD6A6HDhvWYdlcjdFgTK+OVzJtoaHyHZa2WQkWB8cpWvyKMenmtk118aR6Wa2JIsJTZnI\nbNqMd83a020aySSZSAT97Es4jB6JkJmbI7xzF6mREVxbt8pImzht8uSIWv5ZUx9TyQQzQ4MUVNdS\nvXLtZcO9qir880eX8ekfv8jz/S9jmMe4ZZmT7JwIkZSP6qxqCm0F5Jty8eDGSGSI/Hov8d5JMjkr\n8feZSYfGKFoSwbri4SsKaQA5rvnP8UwkeV5QO0VRFcoWZzMzXMZAczdViQI6ZjtoyGkgf3UD4ZFJ\nEs2t2ItqwXN+cR9FVXHdcQdzP/sZkX178dx11xX17d1EgpoQQgghrqtQPEUglqLEe/kiAIlohOG2\n4+SUVlB2MqQBeGxmPr+pmv//hU6ah+dYWnpuINvfO8Py8nPPT4ukIjzR9QTBZPD0or013hocZgdG\nxiBysIXInkNoOZVYapeQPHiMRMKNz76UxkyYgRcGKfLaUUwqqs1Blf02qvO3Ms0sr068zH59kuL+\nUWZ3P4Ln/j8Ey/wv/MrJqpT4fOftn2EYxI4cIbJvPxm/n6z770d13nwjA+LNmwjGsZpUPPYzh+sz\ngwPoeoaC6rpLhjQjpZOJJOmb7KVnuouHqv2YjVzKHMspshSSlXaj+RX08QxGSgdiRIkR7RkgPBYm\n6akgkzIwqx2UrwrjvuVhMF1ZUROYH1EDmI2cP5p8Nk1TWbCukuF2N2pnGsd6B6+NvMZDdQ9hbmgk\ndWQO65FfohYvhLwFkFUOZ5XnN/l82JcvJ9p0mFRjI+bCwivu47uBBDUhhBBCXHV90xFG52IXXKT6\nzVR8HDrRgoFBxdLl5x2Y/s4tlXx/Tx//84VOfvjpMyNYgWiK4yMBvnzW+WnxdJynep4ilo7xYO2D\nFLmKMAyD9Fyc0PFOYicGyMzMoXnLsZTWoQZ60GwjqMtvpSirnOfb91Jtg48s8KHH0xixNHo8je5P\n4Elb2JRYT+dcFzFbHrOjHVQ2/QBchWBxzAc2s/P862YHiqLgWLUKU14ewR07mHv8CbIe+CCa2/1W\n33pxk5gIJijw2M753E/29+LI8uH0nh/6ATLhJMn+IMHhafoDA4STIdwmG9WOenJsuZjjZhRdRbVq\nGDaFjFkjmdaJp3T8XYMEhyfQCnPJLY1RaLSSXZmP0vDJ0z86XKkzQS1x2W3d2Taqli+mY89eagPL\naHa20D7bzsK6OlLDDcQjdmyDx1FHDoPZBjl1kLsAsqtAM2NftYp4axvh117D+9BDN9UUYglqQggh\nhLjq/ttvjnOgb5Z9f7mVHJeVsUCMJ46O8MXNNYz454NayWWCWmTOz2R/L8ULFmFznl9F0W0z84XN\n1fzTsx0cGfSzsnz+4HVPzzS6AbctmA+JqUyK7b3bmUvMsa16GwVqLvGOaaItAyQHxzDiUTSHjnNd\nJc4NK1BjQygtB2DBaqhrJA+w5tl5eSbEb1d4zuuHkdJxhgoI9iQZa4qRSC4lgglnIgjhcUhGwdDP\nex6KAmYHFDRgqdlK1v33E3jqaQKPP07Whz8slSPf4yZD8XPOT4sG5gj7Z6hoXEl6OoYeS2PEM+in\nfjSIpTFSOoF0kEMcI1Wis6JiNbV5dWQyEAklCQaSRIMJYsEUiWgKAD2ZRJ+ewjQ5QGmdk9K6QSyJ\nUShfB1VbzhnBulI5zvl+z1xmRO2U+o1LGGw+QqhllrwNRewf2091fTWW2mISAy5SmQY0PYApPYY2\n0Idp9DiKxQxLPozqq8S5YT2hl14m0dmFbeGCN93fG5UENSGEEEJcVbORJHt7ZsjoBo8eHOTLW+v4\n6pOtPHtinLWV2WdG1C5TTGTwRDOa2UxJfcNFt/nUhkq+99r8qNojn10HwK6OKdw2E8tKvaT1NM/0\nP8NkbJJ7yu8mu1Nl5th+MlNTQAxTng3n2iXYFi1AMZkgEYKO7eDKh+rbT7eztiqb7c1jp6vYnU0x\nq5iybdR7V9IR6UDbpzM7sxhTQy2YFBRNQTGSKEYC9BhKJoZixFAyUYhPowwdhEQIc/0HyHrggwR+\n/RsCv/kN3g99CNV+ZQVXxM1nMpigvvjMDwOTfT0oioon5CE6NAWAoimodhOqzYSWZWVOCfJC5AAu\nh4fb3HcQncxwvHP8dChDUbC7zDiyzGSZQqhj/ajjA1iUNNZKBU/JKEpahYYHIX/RW+67zzlfEXI2\nfGVBzWy1ULtmMW27Wyga2UhzwW4Ojx9mQ90GzEVO0rNx0jNOkv4cDKMeJRZA83dgT/0adc3HsNbX\nEzt2jOjBg1jralHeQri8EUlQE0IIIcRV9ULrOBndoCLHwSP7B9hQk8OzJ8YBeLVrmkQqg0VTyXVd\n/JyXWDiEf3SE0volmC0X385pNfHF26r5xx3tHOqfZXWFj12dU2yqy0VTFZ4beJHh0DBbS2+noN9F\n+NUm0KexL87HsXIdpuLiM1OlDAPat0MmCYs/CJqJWCjJzGiERs3Ka2GdIyemWLE4F007/0BQUzWW\nLVvPnrbH8A4N47GdP+1z/tDLffICUIlZLcI+/ipKOoG54QE827YRfOpJAk8+hffBB1CkwMh7SjiR\n5uvPttM3E+G+xvkiGqlkgom+HnJyStHn0lgrPFgqPShmFUVRiKQidM/10DTRhDnlpGpgFUPJACaL\nhifXTn6lB6fXgk1LkWpvJd7chh6YQSWOrdCKzZdBsxqQXQ0L7rng2mhvhtWk4baarnhEDaBk0QLG\nurpITM1SbFrIMa2ZJXlL8Lg9aG4L1goPRkYnM5cgPesl2e8kMnoE5+Ffoq79OI516whu30GiowNb\nff3b6v+NQoKaEEIIIa6q7S3jlGc7+JsPLOYzP2ri8z8+TLbTQoHHxqudU5T47BR7beeNTJ1toqcL\nRVEorKm9bHufXF/Jd1+dH1X72/sbGA/G2VyXx+GJw/TO9bKxcAPlwzlEm3tAn8D74Bas1dXnv9DQ\nAZjtw1hwD4Gwg9HXRwnPxlFUhYK0SnlK5ejuYRiK4Mmz48134C1wYLGdOZyq8dawr9rNgZ49+IlT\nU9lIaVENiqFgZAxI6xgZHSNtzP+NZ0gOQkS/A8fUTtSjj2Bp/Ajue95HcMcOgs89j2fbfTfcCEH/\ndITe6TBbFxW80125qQSiKd7/zdcY9sf41IZKvrSlBoDRjjYy6TT5jnKUqIK1ykPYiNI73UvvXC9j\nkTEAvJECyqYXY/NYKF2ajbfAcfp7lvb7mfvx9zD8o1g8YCuwYCnwoNht4KuE3IWQW3fFlR0vJ9tl\nuWwxkbO5fDn4ivIITE2TG21gfHqQQ2OHuKPijtPbKJqKKceOKceOucBBZL9OZOgwTuVRLKs+iikv\nj+ihQ1gXLEDRrnyh+xuVBDUhhBBCXDVz0SR7u6f53KZqtizIpyrXSd90hL/eVk8onuZfX+6ar/h4\nifPTMun0/OhBaRkW++UrQ9otGl/aUsPfP93KPz3bAUBNcZxD44eo89RRN1pMYmQW3d+BfXHR+SHN\nMGC8Gb17F361nrGefKKBcawOM2WLc8gtdWGyqPxN5xBH1RR3l3uYm4gyNz4NgNNrJbfUTX6lG0VR\n2LruAXZE/5Pj3Qc53r4Pi9VOXnkllTVLqCpdRLYt+5yCB1q2jViLQjh+N9bRA1hiP8Rafx+u224j\nvHMn4Z27cG26FcV88QWGr5dkWue7r/bwv17uJpnW2fOXW694Pby3StcNvr+7j/uWFl3ztt5p//xC\nByP+GD/93Ho21MyvAZhKxBnv7iS3oAw1BMH8BC/0/ZrxyAQkVbzJXOoyK3Ans1ETZtx5NupWF2Cy\nnAkqun9kRE/JAAAgAElEQVSc4He/jjI3jvfWhZjKFoGvaj6gOXOvWjg7W7bzzQU1RVEoqK4hMteE\n02WQP1NNh6uNZfnLyLWfPzqteaw41lUS3W8QHTqCQ/k5jqUbCb60h3h7O/aGi0+ZfreQoCaEEEKI\nq+b51gnSusF9jYWoqsIf37WAnx4Y4LfXV3BiNMi/vNRF33SENZUXrloHMD3YTyaVpLD2yosCfGJd\nOd/Z1cOLbRNUF+gc879KtiWbdbMNpP1x9GAXqiOFc9Pmc55n+AeItuxidiTETKKOpG8xNo9B1bI8\nckpd54z63b2kkJ/sH+D/+5SH8oZsYqEUcxNR/OMRBo5PE5yOUb08jxJvGZ974C+Yi/np6mtmsLeV\nqb5eRrra2GuzYCvKobhqARX5tRS7isnOyca5ppBEt4346CYSg+2YhndhKi/D1rCU+IlmEt3d2OoX\nYVuyBNMFyvxfD4cH/PzV4810ToS5pTaHPd0z7Ome5uHVZde03aYBP1/b0cZEMM5fv3/xNW3rndQ6\nGuSR/fPflVMhDWC0o31+NM1eQSaZ4eXQAVJ9Fir05XjwYjPZMFk0XNlWPDl28ivcqKem5uoZjN69\nBH7+H+jBGFkPfxzT8ntAu/YRIMdpYWQu/qaek1teycCxo9idc5SmSpgaGGOnbxe3l28hx37+4vWm\nLCuOdVVED0B08Ah2fTcmr5PooUPYFi1614+qSVATQgghxFWzo2WMUp+dxpIsAO5fVsz9y4oBWFaa\nhcdmIhhPX3QNtWQ8xkj7CZxeH+6cvCtu12bW+P3ba/nb7fspKu3DopRwZ3Ijhj+FlhUn2T6Aa/Mm\nNJdzfu2yqSlmjuxndmCaRMaJkrMQT305lZVZZOXbL1ji+77GQn6wp4+X2iZ5YEUJDo8Fh8dCUW0W\nE31Bhtpmad0zyuJbi9FMKj5HNmsbtrC2YQupRILB/nZ6u5uZHBtgaGAfvY4DqPluqhcs497abTiW\n55Ou9JAaySXddYJU2wiYIpiLV5EORAjvGyK8dwBTng9rdSXm0mJU23whCdVpRrFp16Q0eTCe4uvP\ndvCTAwMUeWx8/1Or2boonzVfe5G91yGo/fr1EQD29Mxc03beSYZh8LdPnsDrsPAnd535gULPZBjv\n7SLXU4YyZ9DvmiDUqdHgq6e0vAB3tg13jg2723z+v314EqPlCYKvHSadsOL5nT/AXL/suu2Tz2Gh\nZSTwpp5jtljJKStndmSIyhX1TB+sZqing59Ffk6Vt5KVBSspdJ67VprJa8WxtpLoAYiPHsZh7yM4\naCHe2oa9ccnV3KXrToKaEEIIIa6KQDTFnu5pPn1L1QUDg0lTubUulx0t4xec+piIRjmx6yVSiQS1\nazdccegIJAKMhEfIKxxi3dJuVpcVsE3dimkqg7XKTXT/bjSfD9uSJUwPzDJ66Bjx8RFQwFNeQ/GS\npXhLPJgtl/71fWW5j0KPjR0tYzywouT0/YqiUFidhc1ppvPQBENts1Q2njtVy2y1UrNwGTULl5GI\nRpkeGmC4r53+0U66Z/bwuqeEFQUrMHltmLw2jMW3oY/1kz66k0xwBovdTKbMSWpOJzk2RWpoBsXW\niaW2Fs0zXxlQMatobgua24LqMs//tb+9Q73nT4zzd0+3Mh1K8NkNlXzlzjqcVhNkDDZV5bC/ewY9\nnUHR1GsSEpNpnR0tY1g0lbaxIDPhBDmXKELzbvXksVEO9s/y3z/UiNdxpniMf2wEPZbCq+WQyYX9\nU934tHxWb6rD5bNd/AXHj2N07CDSNkmSUlwPPYC1ful12JMzTp2jZhjGm/psFFTVMjXQB/o0C2oq\nyBrOYrpnkhHrEH1DT1FcnMeqgpWUuctOv67JZ8O+spxok4ESSWNK7CO6Zye2+kXz1Vzfpd69PRdC\nCCHEDeWFtglSGeN0pboLuW1BHjtaxil7Q1BLRCPzIS0ep37TFjy5+Rd9Dd3Q6Z3sZiQwwnhojEgi\njKorOFQHX67ewMJoJaaRDJYSF3pkiIzfj2fbNib6Qwy+vBunMknlkiJ8KzZizrryaYSqqvC+JYX8\n9OAg4UQal/XcwyhvgYPCag/jPQF8hQ6y8i48amh1OChZWE/JwnrKujp44ZWfse/4SxS7iilwzhfn\nUBQFrbgKLb8YJtsgMgXhSYhMYiRiJCeDhFvH0FtzcT78BRRnMZlgcn7B46EQhm5c8X5dSDiRYmf7\nFD3TET7hsnLnmjIKHDYye8cIntzmI2kTvjAMPN1DjtuGYlHnqxCaNVSrhnLycuq6ajl53wUqZl7M\nrs4p5qIp/vCOOv7XS13s7ZnhAydHaG8W4USar21vY2lp1nmjk5P9fXgiXmwFLvaZO9EnLSxfteji\nIU3PQM/LMNxEbMwgFi/GvnEd9qXXN6QB1OW7SWUMfrJ/gE9uqLzi57lz87C7PUz297Jky13klrqY\nHfUxPVbM+PgEEwNjPJX1CjklLj6w7H04zfOLcZvzHdgWFxNvXYupMEKsbR/xpkbs62+7Rnt47UlQ\nE0IIIcRVsaNljBKvnWWlWRfd5oEVJSgorKnMPn1fPBLmxM6XSKeSLN68FXfOhcran9F0aDehjkk0\nVaPWUoDHUovb4sFusgEKmtuMtd6LlqXhf+QQppJSplJZjB5px2cZo2brKtSy1W9pH+9rLOJHe/t5\nqW2CDy4vOe/x0oU+ApMxeo5O4St0YneZsbnM2F1mLHbTeSMLRTV1LO5aypHBI+zI28H9dfefey6O\nyQrFy8/cNgyURAhrZAptURtzjz1G9LH/jnfbXVjKVsGiOgwU9GiKTCiFkcy8qf3TdYPnWsf5zwOD\nZHSdj60vZ9vSIkwXCFdlhXYOto3SqOrcW+7GSOoYqQxGSic9l8BIZC4YGBWzeibImTUUVZm/z21B\nc5owDCAzXxVz9/4hVtmsfL6ugF2v9dN6fIJ7y7JRTApoKopJnb+uKtdkRO96+NeXupgMJfjOJ1ed\nc05kKhEn2j1Nnq2Esfwg3UemKMsuY+GS0vNfJBWHuYH5yqWBEWKxfCLTEawN9Thv2Xgd9+aMD60o\nYXvzKF99qpXFxR5WVWRf/kmcKipSS/+xI8RCAbwFXrwFDiqX5hCYKmBquIqe/kH6Xx9kR3gnD912\n3+l/e0uFByOlk+B2lKE4qRP7JagJIYQQ4r0tGE/xWtcUn9pQeckDZqtJ4+E1Z0YNYuEQrbteIpNO\n07B5K67s8wsGnG14qI9g5yTZJQU0LFo+XzRBU+cP9jUFNGX+fC1FIdrURCYaJ1i/hKn2aXJpo6rB\nilKy8i3v5+oKH/luK8+0jF8wqKmaSs3KfAaOz+AfizB1VlBSNRWby4zNacbuPhXgLFQvXU3wtRn6\nxuf4jfob7q+5/4JV7oD56nw2D9g8mHJqcDtqCD72Q8L7DuMODIAtC6VsLVrhUjSX803tW/t4kL96\n/DhHB+fYVJfL1x5opDzn4lU3y/AQyrGy3R/iwbrzF0c2DAMjpc8HtkQG/dTfZAYjkUZPZNCjaTCM\n+ZD3hlCXTGewdAX4ZHEWetccH/G4mekKEsmfuODbgqagqMr8jVOfB/Ws+zQFReWc++Y/M/NhTzFr\n8yOClpMB8NTtSywjcTk/PzTI0GyMP717wQW/F92TYb6/u4+HV5eyovzc0d2p7j6sQQtqo5udx4/j\nUjxsuX0VmlkFXYfwOMz2wmwfBEfB0MFkJW5fQfhED5bqGtxbt75jAVZVFb7x0RXc/63dfOknR3jy\ny7dSmHWJ6ZpnyauoYqDldSb6eqhavmr+9TQVX6ETX6GTmuX5vLZX40RHD7udR9i0Zn4bRVGw1fnQ\nsqwo2n2YctyXauaGJ0FNCCGEEG/bi60npz0uvfi0xzeKBgO07noJXddpuO0OnN5LT0NMxuJ0729G\nc5hZcutaLJdYCFtPJokcOcqUo5rIrEq+rY8KzwTKgk/B21iTTFUV7l1SyM8ODRFJpOfP13oDh8dC\n/cZTCxVniIWSxMMp4uEUsXCKyFyC2bHI/LIAgCPLQm5eBerMCP2OKE90PcGtJbeyKHvRZQ+yrQvr\ncdz5INFDTZjMtdit09D1wvzIyoL3QU7NZfcpnsrwry938Z1dvXjsZr7x0eV8cHnxFR3gb6zJ5alj\no6QyOuY3jLopioJi0cCinVnf+yIM3UCPpuaD28kgtbN1nF8YCe69pxJ3hQ/FnObHz3bwoVoPhS4r\nRvrcdenQjfmwp597/fTf1MkwmDHOjNrpBmT0U/8UF6SY5sPb6VFA5WTwUzg5kseZ2yf/KopCxtB5\nensngXiayrh+ZsrmqW2BHzx1ghUmM//XkhISAycnlRoGejxN8OAwZquNPaFejIiJ2+9cjcdnh+HD\n0P8apGLz27sLoXwdZFeT9GcI7diBuagIzz13v+NVD7McZr7zyVV8+Nt7+fyPm3jsdzdgv8y5oABm\nq42ckjKmBvqoaFyO+ob90Ewqm29ZwURkguPH+ihwFbCg/sxIoznfgba59vT7/G4lQU0IIYQQb9uO\nljGKsmwsL/Ve0fapRJwTu14Cw2DJljtxZF36eYZhcGLPIVLJJIvvWHfJkAYQPXqU8RkT4aoySooM\nykKHUUpWgOfKg+TF3NtYxH/sG+CVjknev/TS50uZLRrmHDuenHPPyctkdOInQ9tg6yyKUoXTFqVm\nTGPCCq8MvcJAcIBNpZtOn4NzMY5160hPThJu7sP04Q9jrk5A53PQ/Bh4y8FsA9V08mIGVZu/rplp\nHg3zrV39DAVSfHFxMZ+/rYIsVwICQxfc/vTrnAxxW2s8PLm3lX956gh/cHc9msmMZjK96QW6FVVB\nc1nQXGcKafyyYwJ3to0VdbkoisK6xfnMPNvOnqkQH6u6eksUGMbJ8JY6M3XzzGX+tp7U50cBg8n5\nUGcYcPLv6dv6WbeBwdkIdXHIsttp2zdCdUQnz2XFYlKxmTV6JsPYhiJ8eUEe1qEIcSKneoR/Yoxk\nNEqo1Mb0RIyVKxZSXlEAEyeg63nwVUDRMvBVYpgdpMfHSbR0Ez9xAlNODp73b7sh1t0DWFTo4V8+\ntoLPP9LEn/7idb75Wysvudj9KflVtUwPDTAzPEheRdV5j6uayratm/np9qfZe+AYWU43BeVnpl2/\n3UI6N4J3/x4IIYQQ4h0Viqd4tXOa315fcUUHYAAzw0Ok4jEat95z2ZAGMNbWx+zYJO7FBZQUll9y\n20w8zsDuTvzWYsobiihL7kCx2KFq8yWfd6XWVGaT67Kyo2XsskHtYjRNxZllnb94rXQdmiAZW0jc\nf5TcWIqsIi+9yW6Gw8OsKlhFsbOYbFs2Zu38g29FVXHffTdzjz1GcPsOvB95CG3Vp2FgD/j7IBaD\nTBr0U5cUsXiS17omaR0LssFu5q9XF1CWHYSe9st33mxnIp3LwFQaW1rjY45Jju5o42cDhyjxOgjE\n09TVlpFbVk5OaRlWx5ubggkwGYqzp3ua39tSe3pkrybPRVGWjV2dU3xs7aU/A2+GoihgUlBMKlyF\ng3vjZIj76ePNPG1O8/JXbuET//sA/9HcD4AG3LEon/axEM58C3/18QZMmgYK6HqGkfZWRv29+NZW\ncbxtlCyfk7UrGmFuENq3g7cMo+Eh0pNTJPYfJtHdgx6JgKZiqajAvWULqvXGqox55+IC/ureRfzj\njnb+Z14nf3r3wss+Jyu/AJvTxWhnG568/At+jlxWF1s2r+KFlw6wb28LW2wr8eZffLruu40ENSGE\nEEK8LS+1TZLM6GxbWnj5jU+aHR3G5nJf9pw0gPhsmN7mE6RzFFYuW3/JbdOpDB1Pvc7knIXSO2qo\nyBlG6RiBRdvAfP6SAG+FdnL64y8ODxFNpnFY3t7hlDPLSsPmEiZ6A4yaVzE70knk8BD5FpWQL86e\nvFfBYQarisfuJtvuI9vlI8eRTam7FKfFiWq343n/+5n75a8IPv00WR/+MGr1bcC5hRQMw+A3r4/y\ndztPEI4n+eKmMj62uRKbapwV5E5e3hDu0DOgpxk6fpzmfUfQ8WDPrmJj9RpC8Un2dMbBSKPoOsMD\nPZR5ezBbVNzZOeSWl1NQXYGvOBeT6fJT3546NoZuwAMrzgRhRVG4fVE+T74+SjKtYzG99Sms15Ki\nKKR0nWdaJ7ijoYC8LDuPfnEDuzqnMAzongrz2KEhZiJJHv38esw2M7FQkMm+XiYHeknFY+SUVdA6\nHSOT0rlt00q04BC0/AJsXmLGQqI//gl6NIpi0rBUVGCpqcVSVYlqsVy2f++Uz2+qpnsyzL++3E1t\nvuuC53ieTVEUypcso/vQfo4+8xSFdQspXdSA6Q37uCC3jv7VA3TvH6L5gI+1Wxdgc94Yo4lvlwQ1\nIYQQQrwtO1rGKPTYWFF2ZdPR0skkgYlxihZc/hwsI6PTtf8YISVK44YNWEzzB2mGYZBKZIhHUiQi\n6flzwCIpQjNRQm0jlFQ7qN1YjHLwu5BVCoWNb3s/z3ZvYyGP7B9gZ8fUJZcjuFJmi0bpomwKa7II\nTBUzMzzDSHsr+sgAlqE0KT1K2kiTUIMMKcP0KoBmQgdG/Cmq65bwkfu2YNt6N5HnthPcvoOsN0x/\nG5yJ8l9/3cLuzmlWlGbx1fevpibHRSqhE0/r6GkzmbROJqOTiidIRGIkoikS0TjJWJxkLEoyFmVu\nIoE9by2L63JxRtox21qpfP9CvtdhpcCXRdtYgKeGQ/zd8grSM+PMTYwwNXiQtt0Hsbl8lDUsp6iu\njOwiJ2brhUPbk0eHWJ5npdKcJjU2hh6Po8di3Jmc4uh4H0d2HmLV4jK0nJwbbvQIYHf3NHPR1OkR\n1xyXlQ+tPHMO1VfurGN4Jow7NsPxV44QnJ5EUVSyCoqwePJp6hpixh+gbkkxZaYoND+OYcsiEqkk\nduIA5tJSnJtuxVpZiXIDh7OzKYrCPzzQyMBMlD/7ZTOlPgerKi79f0ZueSXu3DwGjx9jtKONyb4e\nyhY3UlBTi6qe+ezcVrmJ0bmf09vWi/eQh4ZbS9Bu0CD/ZijGpc6evMpWr15tNDU1Xbf2hBBCCHFt\nhRNpVv79C3x8bTl/e3/DFT1naqCProN7adx6z2VL8fvbRjl6eD+mZVlsbrwDgOnhMIMnZkifVVFR\nURVsTjOqfwJX3yGKPrINS/QEjB2D1Z8G18XXZXsrMrrBun98kXXVOXzr42+9iuTlxMMxJvqHSUZj\nJGLR04EpEYsSisxxsH+EicAMOapGbfkiqirWYgmn0Ad6sPk8OJc3kjIU9nROs7tjCpNhcGuli4V5\nNvR0nEwqTiadIJNKnL6eTsUxMmlQFNSThT1UFTSLBYvNjic3j8rbljJpjBMJDBEbOUwqNEZKVYl6\nChnTsvnO7gkaivL58m2NODQH5qiJ+PAcsx39xOfi2JwFZJc04CvKwpdvw5maxRjuJzU6xvRMgB/t\n7OKW6iJqC3MIJQ3m4mlmw0EisRnmomlcFht1uQ5qfGac+dmYSisw5+ej2B2oDjuqff6i2O1v+ny5\nt8IwDCZDCfqmI/RPR/jl4WE6JkI0/fWdWM8aQUwnk8yODjM3Pop/bJRENAGqFZw+ooqdQChOIBYi\nbYmzYs0C1vscKO1PoZu9hKfzSQwMY1+2FOett16X/boW/JEkD3x7D5FEml///i2U+q5sqmLYP8tA\n81ECk+PYXG4qGpeTU3pmCmy3v5vnWl6hYqyRmrIKFqwpmK+QeQNSFOWwYRiXXSNERtSEEEII8Za9\n1DZBMq2/qVGlmZEhLDb7Zac9ZoJJBls7Cfhi3LHwTgDmJqP0HZvC6bWSXezF5pwvd2+1myCdwv+z\nV1BKsjF7VOh5HUpWX/WQBvPTH+9pKOSJoyPEkpkrqmT3VthcdiqW1F3wsd1d0/z4+wfw5EB+vIkC\nujjW04XD5MZnd+AYShAbaKF3NkwomWSVU6Ui147VbyYcUk+vQ6ZaTFgcdkzZdsxuF6o7H5PDiuaw\noFhMYNFQLCYMTSGtpxmPjHN0+Ffz74OiYc+twpxViHluCHdglHx1it8p0HllZIzdrX6yc72gmcAL\nxmodfdiP1jfAZMsR3M2F2BNuzGg47Bquwmz2z2jEixqYKXQzngmSSIyTSc2ANYzDaxAPJIjEIRH3\n0TdXSHFwiNzWE/iMOGbVwKTpaKqCoplA1VAdTkw52ZjycjEV5GPKL0T15qBYnGB2zF/eZOjRdYM9\nPdP86vAwHRNhBmYiRM/64cCiqXxhc/XpkBYNBhg60cpIRzeRUJR4OkNStZGyuohqCkZ0FpxpbD6N\nwjofq6uXURybhbbfkEp7CPWayERHcN56C/bly9+1a8YB+JwWvv+p1Tz47b187j+a+OWXNp63ePyF\nuHzZLN68lbnxUQaaX6dj32vUrbuFvPJKAGq8NZSVtDKa6SR7Opu2fToL1hZgsb174867t+dCCCGE\neMc90zJOvtvK6stMYTolk04zNz5GfmX1ZQ82Z04MM5GaIm9VOR6Lh0ggQffhSexuCwvXFp7za3na\n7yf4zDNkgkE8970Ppet5sDihatPb2r9Lua+xiP88MMiuzknet+TtT3+8GMMwmA4nGZiJMDATnf87\nG+W1rmmq85z8yV0L+PJPYdGWcqx6H08dbmJ0sodsI4rVn8CiQXmxnRybhqFnSEYzaLqBqs6PmBkK\n6IpC8qw2dbM2f7GY0M0mdItG5uR1s9fLmuWbqC9ahtPsPPffMeaH0de5NaefnMH9WI+M8vBajZj9\n/7B333Fy1eeh/z/nzJneZ3dney/aot5AQgVRjA0GG1cc4x7XOE7P7yaxf7n3Jk5uHCchubEdx91O\ngm1sB2zAgAB1gbq0knal3dX2vtN7O+fcP0YIhCS0EpKQzPf9es1rxMwp3zOstOeZ5/t9Hidxg5NE\nQiaT0EnGg0wHJ4mrp4h43ajVjRSc5ZCe4KhxFFt5kJSaw5bPUGJXqKlz0ty4GE/Hen7ar/PVX3Xz\nx20hYpEgfXYfA3o1UkHDpOqYVDBrKmY9j0XLYclkMfWHMR6dwSPtxSlHMVoMKB4bitOCwWXF4PYg\nuUqRPX4ktx/JVgJWL1i9pFWJvpk4S2qLRW9mYhk++O09DMwm8NqMLKn1cHOTj8ZSOw0ldhpL7VR5\nrEjAZN80AwcOMjncTyqboWA2kbcY0O15ZOMcbrvOAqdMjcNCpdGOUzIiqRE4eggtmyc5rpFJFpBd\nMp53vQtj5dX7ObuWWvxOvvZby/nwd/fyg93D/M6mlnntJ0kS3spqPOWVHN2ymaFD+/GUV2A0W5Ak\niQ3VG/hx4scE3KcwTrczdCTAgpvmv3b2eiMCNUEQBEEQLtuugQBvX1J5CdUeR9HUAr7q2tfcTo3n\nmBgfJlqWZV31CrKpPH17ZlCMMm2rz57SlB0cIr55M5JBxn3fvZgKgxCfhq77Qbl665duavThs5t4\n4uj0FQ/UZmIZvrtziEOjEY5PRkm+snG2BFUeK11VLv787g6qvVZkCY6HTDy45i188jGFujKVXH2Q\nUleBjYtqcJpNKLKCIikYZAMGTULJaygFDUNORc4XMORf/rOcKxSfswWkXB4pX0DK5pFSeYipSFNH\n0RqTpMvKMHiKJdH1fAE1GkGLqWjpUtpty9j8wlH2z07TZh/Dkolh0VVkhxtzexem29cSVjX6Tg0R\ni86hJvtJSwVqZxO0lJbRXt1MeVMrpc2dKJ5KsHhAkrjFluL/e2qaaOMKVuSHSMTDZE2Qd9gpyAay\nkkQ6rxLN5MlnVcjLZLIafaNRFrtcVMsW3GoOWzaFeSKBcSKDoqWQC33I6iEMeg7FCAaThGK3sCtb\nyn+FfPzl772XrqYKvrtjkMnZJF95Wycbmksw6BJqQUMr6KiqhjqRYmQkyfDJkwz1bCNdiKJ5JQzl\nWcpceRpsRqqsJZS7GjEqZnQAVUPLqRRyBbRMnuysndxsCt1ox7psCbbVq6/LtXivx4a2Mlr8Dg6M\nhC95X0mWaVl5E0c2/5rhIwdpXb0WAI/Fw5qqNeya2EV5azn1VTUXOdL1TQRqgiAIgiBclnROJZ4t\nzHuNia5pjPcew+7x4vaXv+a24cFpgrkQta1NmHQzPXum0DSNzjVVZ6Yy6ZpGau/eYrNnvx/X296K\noRCA7heLPab87a/7Gl+LYpC5q6uCXx6eIJNXsRiv3PTHP/rpEV4cDLKoxs17VtTQVOagrsRGvc9G\njdd2TsXDxTUedp0KYpBl8qrOtz64iaYyxxUbzyvlZ2fJHDtObmiIbF/fOe/LDgeyzcbC5kq2zqj8\nWzjH371zNV6PHUWOoeSGkVJzUBihXNMoq9UJedzM5et5si/DNqOdT3zmPVRUnP9npMZro73CyZbh\nFB//2N0ERoaYHhwgFX35ht9gNGFzlWBy2MFi5Mf7BziWimGok5AqNCYyMuRsKDkP9owJkyajaKBo\nEoaCiiGXQ87n0MJxIpMz3EOQnr/5DqHKEqyzeb7gcuA/pnL8pEJOy5PPp8nlkuTzKQqFFLl8glRy\nEtmepLnVRIOtjEpbCyazH012oiZVEtNxtHQKPZtBL6hnXaNkMmNeshDr0iUoPt+V/R94HVla6+H5\nE7Poun7J0zltbg/V7V2M9x6lrK4RT0Xxy5LFpYuZSkxxMLaHeqqoQGTUBEEQBEF4kwkksgCUOeb3\nTf/syBCZRJz2Wza+5k2ZnlcZPzVI3JNlTcUSTh2aI5fO03ZTBVZnscKdlskQf+YZciOjWDo7cNy8\nHClwHMb2gK0EWu98/Rc4D3cvquDhvaNs65vjrq4rc0O4eyDAzoEAX7yng99e3zSvfW5pKeHftg0y\nEkxy64KyqxakARj9foy3+YFNaOk0aiwOEkiKgsHpPKvS5ANrErz1oe08NOfgKxuXAPCrIy1EjHk+\ndHM9ALKuUwp4NJ2H//Y5Vq3wXTBIe8mmdj/f2j5ISoWKljYqWtrIZzKkYlFSsQjpWIxULEp0aops\nJsPwoSGqcyrpIyE2dnShuUz85MgAkjtB6xIzKb1AOpdBKwCqdOZxZDTJSXuaZVIGy2yS5vAESiqM\nUwjw+xIAACAASURBVC0wGc5T0Apomsrp7tfIkoRBkrHLMtUWKx2uBmwRPyQs5IE8s0jGMAa3C9np\nQvH7kSwWZIvlzLNssRRfv04aVl9NS2s9/OzAOGOhNHUll97/rKaji8DYCIOH9rP0LXcjGwzFNg51\nmwicDHBw5iB3N919FUZ+bYhATRAEQRCEy/JSoFbiuHh5cE1TGe85hsNXgrfytfsnRUcChFJB/F21\npKY1orMp6heW4iop9kFTIxGijz2GmkjgWNaIxRlE2vdN0HXw1ELb2+A8jaGvhjVNJXhtRr6x9RRP\ndE+hyBL/8L4ll13sQdd1/u7pk1S5LTx4OpCZj1uaS/nallMEEjk+srbhss59OV6qrnghLX4HH7ul\ngW/tGOK3bqrHrMj84U8Pk1d1Yul8cW2SJBFIZPnmtuL4L9ZfC4oNo7+x9RQ7+gLcs7iS2XiGobkk\nS+tKz8nWPtU9ztaDbu5dXcbhfYfo7Rkklc3R1z0FwKAsUVnixOu04nVZ8brNeF0mTBYDv+6dYqXD\nyU3VFfxXaJJuWaWm0spdTSWYNHDZrDjsbuwOL3a7B6vNjslsxWgynfkZkBTjWZUoMRpv6GIgV9LS\n0+v+Do2FLytQkw0GGpetoHfHFib7T1DTXqw8azaYubf5XmzGG7v5tQjUBEEQBEG4LMFEsfxE6Twy\naoHREbKpBE0rVr3mTaqWLjDa20fKlmdRxUJGXwjiLLHib3Ce2Sb14m60iWN4Fnsw5rsh6YC6m6Fi\nMdiu7TQxxSBz35IqfvDCCCen46TzKn92dwdlzstbT/RMzwxHxiL83bsXXdJUyuX1XsyKTJXHysbW\nsss699XyhdtbefTwJH/52DHyqo7bauSmxhL+/umTnJyOMxvPcHAkQk7VeGtXBbe1X7xK57I6Lx6b\nkedOzHD3ogo+/aMDHBqNYDMZWNtcysYFZdzaVkatz8YjB6coc1n5q/esYPXJMId9lRwYmIWGav78\n9nqeOTTEyEyY49NJCmMRFF3FoBcw6ioGZN5660paa8voiR1lf/8Ut2xYxKYNS3D7/RiU3/ys19XU\nXuHEYpQ5PBaZV4B+Pt6KKnxVNYz3HKOsrgGzzQ6A2+y+kkN9Q4hATRAEQRCEy3IpGbXg+ChmmwNP\n+YWLbhQyOXqf38t0fBrH8jLCfTl0DRqXlJ4J7rRMhuyLT2D2SRgb1hTXonkbL7m8+pX0xbd38vnb\nWukej/CJH+xnLJy67EDt+7uGqfPZePfySyuCYDEa+Ot3LqTWZ5t3YZdrxWkx8j/e2s4fPXIEgH//\n0Apua/djNEg8dXyaBRUuHry5ng/eXEfzPKdsGmSJTQv8bD05x9PHZzg0GuET6xrJFlS2npzj2d4Z\nAJrL7AwFknz21mbcViObFvj5r30TaDp87bdWsH5xJetXF5uh67rOXCLLcCDFUCDBUCBFqcPEnaen\nn36uoYMfvjDCA7e3nNUbTbh8ikFmcbWHw2OR13WchqUrOPzU44we76Z11ZorNLo3ngjUBEEQBEG4\nLMHk/DJqhXyeyMwUlc1tF8ymJZMJDj+3g1Q8gX1FOe3eZZzqn6O2w4fF/nLWIrv7cfR4AMs7PwkL\n77hyF/M6GA0yZU4ztb7iNKuxUIrldfNrV/BKs/EMe4aCfH5TC4rh0gPP96587Uqab6T7l1XzbO8M\nVR4rbzm9lu+hB5ZdVhGJl2xq9/Pfhyb4H7/opqnUzp+9rR3FIKPrOoOBJFtPzrGtb46cqvGB1cXG\nyG9fUslTx6dZWO3ibQvPXlMoSRJ+pwW/08LqxnMzs36XhT++a8FljVW4sKV1Hr6/a5hsQb3sANhi\nd1DR0sZk3wmqF3Ric9342TQQgZogCIIgCJcpkMjiMCsXnaIXmZpA1zR8NecPJKaikxx//kWklE79\n2i5a6zs4tn0Cs81IeaPrzHZ6KkRm169RKmsxLrn9il7LlVDjLa7VGg+n573PUCCJ06JQ6jDz9LFp\nNB3uWVx1tYb4hpFliW88uOKc11/PWq2NrWUYZIlIKs9fv3PhmeBWkiSayxw0lzn4xLrGs/a5vb2c\nTQvK+PxtLddd5vHNammth5yq0TsVR5ElSh1mKtyWSz5OdXsnM4MDjB3vZsGaq9c/8VoSgZogCIIg\nCJclkMhROp9pjxPjGC1WnL7Ss17XdZ1jM0cZ3d2DK2dnwcYV+GuqmB2JkY7naFlZjvxSZknTKOz+\nMYVYBsfd74HrsBiDzaRQYjcxHk7Na/sjYxEe+PcXqfJYeOIL63m8e4pWv4MFFc6L7yzgthlZ11JK\nJJXj7nn2sbOaDHzvY6uv8siES/FSQZGPf38foWSO9gonT35h/SUH0kazhaq2dsZ6jpIIBXH4Sq7G\ncK+pN25CtyAIgiAIN7RgIkvJRaY9aqpKZHoSX1U10ivWkWm6xnPDzzH0wjHK1RKWbVhHWVUlk/1h\nRo4VC4h4K15RsW18L5ljx5D8bZgXLb9al/S61fhsjIUunlEbDab4xA/2YTcrnJpL8ue/OMre4RD3\nLL6yjbN/033zQyv48afWiOzYDazSbWFRtRu/08wHVtdxYjrOL49MXt6x2jpQTGb6971AIZe7wiO9\n9kSgJgiCIAjCZQkkshfNqEVmplELeXzVZ097HAj3k+ieoZUGFq29Gdlhp2fXJOMnwngr7LSs9L88\nLS4xi9a3hWzUgHnZLcimi2fx3ii1XitjF8mohZM5Pvq9vRQ0nZ98+mY+eFMdvzg0ga7DPYtEoHYp\nLEYDVpMo7HEjkySJX/3uOp76/Q18+Z0L6ah08Y+b+8gVtAvuMxZK8T9/eZyx0Nl/1xSjkQVr1pGJ\nx+nfswtdu/AxbgQiUBMEQRAE4bIEE7mLZtRCE2MYjKZzelv1DfZQmnLTuKSTYErl+I4JsqkCLSvK\naVnhx/jSzbeah57HyM4k0d2NWBYuvFqXc0XU+mxMRtKomn7e9zN5lU/+cD/jkTTf/vBKmssc/Nnd\nHdT6rLRXOGktF9MehTcvWZb4k7vaGA2l+Mn+sfNuMxPL8MFv7+H7u4e5/+u7ODQaPut9t7+CxmUr\nCU9PMtJ96FoM+6oRgZogCIIgCJesoGqEUrnXrPioaxqhyXF8ldXI8stZj9nULOm5OCWmMk6NJRg/\nEcJTbmPRrTX4quyvOIAOfU9DKkgmW4lSXolSXn6eM10/arxW8qrOTCxzznuapvOHPz3MgdEwD71/\nKSsbipUFHWaFn392Ld8Xa6cEgU0L/Kyo9/JvW0+hveoLj1Ayx4Pf3kMwkeWh9y/FZlJ44N9fPCdY\nq2hupaqtA5vn0quvXk9EoCYIgiAIwiULp/LoOq859TEWmKWQy54z7fFo4CiusJ1c1EY2o9K8wk/r\nynKM5ldNYZvuhumj5J1dFJI6lq6u11Ul8Fqo9b5cov/VvvxkL08eneYv7u7g7ldNcfQ7LZdV6U4Q\nftNIksRH1zYwEUmzcyBw5vVYJs+Hv7uH0VCKb39kFe9cVs1/f24tLquRv33yBLp+dlDXsGQ5/oam\naz38K0oEaoIgCIIgXLKXml2/VkYtODGGbFDwVLwclKTyKUamh/DFS8FuYuGGakqqztPkOBOF/s3g\nrScTtSMpBswLrv8eVmd6qb2qRP93dw7xnZ1DfHRtwzkl4wVBONtbusrx2ow8vHcUgFSuwMe/t4+T\n03H+7cEVrGkuVnQscZj5wm0t7B0OsbVv7o0c8lVx0UBNkqTvSpI0K0nSsVe89hNJkg6ffgxLknT4\n6g5TEARBEITrSTBRrKhWYj9/Rk3XdUIT43gqKjEoL3cD2j+zH2vAhCVnx9vmxWQ9T6cgXS8Gaeho\ndZvI9vVhXrAA2fza6+GuB1UeC5J0dkbtqWNT/NUTPdzVVc6X3t553WcFBeGNZlYMvHt5DZt7ZpiI\npPn0jw5wcDTMPz+wjE3t/rO2ff+qOmp9Vr769Mlzpkre6OaTUfs+8NZXvqDr+vt1XV+q6/pS4OfA\nL67C2ARBEARBuE6dyag5zx88JUJBcukUJa+Y9jibmuV44Dh1oXoMVjMVHb7zH3zuJAT6oWEDmcEJ\n9HwB65IlV/wargazYqDCZTlT+fHASIjf+/FhltV6+OcHlmEQZeQFYV4eWF1HQdN559d2saM/wN+9\ne/E5U4YBTIrMH97ZxvHJGE8fnz7zeiiZO2c65I3mooGaruvbgdD53pOKXwm9D3j4Co9LEARBEITr\n2JlAzX7+QG1udAhJkvFWVgPFDNuO8R1YsjY8MRf2Oicmy6uyafkMnHoeen8FznL0yuWku49irK1B\nKblxmtfWeK2Mh9MMziX47R/sp9Jt4dsfWYXFKMrIC8J8tfgdrG7wMRfP8r/u6+K9K2svuO19S6qp\n9lj58b5ipUhd1/nQd/bwhR/f2JP+zjPf4JKsB2Z0Xe+/EoMRBEEQBOHGEEjkMBokXOeZuhibm2V6\noJ/ypmaU0z3P+sJ9TCdnWD6yCoMkU7ao7OUdNBUmDsLITihkoXwhNG0kOziElkzivG3TtbqsK6LW\na2Nb3xwf/d4+JEni+x9bje8CU0QFQbiwr7xnMafmEtze8drVXg2yxP3Lqvn61gFmYxmGgymOT8b4\n4E3112ikV8frDdQ+wEWyaZIkfQr4FEBdXd3rPJ0gCIIgCNeDYCJLid18znqrQi5H/97dWBxOGpYs\nB4rfbh+cPUj5RCXuOSOeTh/WCltxLdrcCRjcBukweBug+bZiNk3XSR86hMHjwVh/Y91s1fhsBJM5\nkrkCD3/yZhpK7RffSRCEczSU2uf99+f+5dX865YBHjs8ycHRMB6bkfuXVV/lEV5dlx2oSZKkAO8C\nVrzWdrqu/zvw7wArV668sSeKCoIgCIIAFKc+ljrPzhLpus7gwb3k0mkW3nYnBsUIwFBsiOhsnBXD\nDVhKLfjXVSEVMnD0ZxAdB3spLH4f+JrgdOCXGxqmMDeH8/bbbrjiGx0VTgyyxL88sIxldTd2HydB\nuFE0lzlYWuvhBy8MMxlJ86kNzVhNN/Z049eTUbsDOKHr+viVGowgCIIgCDeGYDJHyavWp82NDBEY\nG6Fu4RKcvlLgdDZt5iDlgxU4FRvVb6lHNhrg5FaITcKCt0LFEpBfXjav6zqpffswuF03REn+V3vr\nwgoOfPEOPDYx3VEQrqV3L6/mS48dxyBLfGjNjZWJP5/5lOd/GHgBWCBJ0rgkSZ84/dYDiCIigiAI\ngvCmFIhnz+qhlkkkGDq0H1epn+oFnWdeH0+MMzMTojJRirPehdlnLWbRJg9DzQqoWnZWkAaQGx6m\nMDuLdcUKJMON9424JEkiSBOEN8DbF1dhMsjc1VVOtcf6Rg/ndbtoRk3X9Q9c4PWPXvHRCIIgCIJw\n3dN1nUAyR6mjGIzomkb/3t0gSbSsXoP0isDr4MwhHGM+PIoNX4cPNA36ngazExrWn3Ps/MQEyR07\nMbicWNrbr9k1CYJw4/PaTTzymTVnGs/f6F5vMRFBEARBEN5kZmJZcgWNcpcFgPHeY8SDc7TddAsW\nu+Pl7ZIzjE/O0J7qxFViw1xhg76nIDELXfeD8nJGTo3FSO7eTbZ/ANnpwHnHnTdkNk0QhDfWklrP\nGz2EK0YEaoIgCIIgXJLt/XMA3NxUQiwwx1jPMcrqGymtazhru4Mzh1CmXFQYXLjqHMhjW2HqCNSv\nBX8xW6bncqQOHiJ96CBIErbVq7EtX4ZkNF7jqxIEQbi+iEBNEARBEIRLsr1vjjKnmfYKB4ef3obF\nbqdx2aqztgllQgyOjlGTa8frNGOUR2F8P9SugsYNAGT6+kju2o2WSGBubcV+y1oMTucbcUmCIAjX\nHRGoCYIgCMIN6BcHxxkPp/nC7a3X9LyqprOjP8AdHeUkQkEyiRgtq9agvCIDlswneW7keeQpJ/Xm\nEmyWPMboLihvhebbQZLInDxJ/JnNKGVluO56C8aqqmt6HYIgCNc7EagJgiAIwg3oWzuGGA4k+Z1N\nLRjka9dnrHs8QjSdZ+OCMkLjo0iyjK+q5sz708lpnh5+mswsNCldVFhNGFMHkX0mWHA3SBJqPE5i\n6zaMVZW477//rOIjgiAIQpH4l1EQBEEQbjCxTJ4T0zHSeZWB2cQ1Pfe2vjkkCdY1lxCcGMNTUYVi\nKlZ/7An28OjAozBnoT22ihpnKdb4MEbTNLS/HUw2dF0nvvlZ0HWcd9whgjRBEIQLEP86CoIg/IZ6\nrneGPYPBN3oYwlVwcCSMrhf/3D0euabn3t43x+IaD8ZsnGwqSUl1Laqmsn18O1tGtuKdrqM1uoyK\nCh8N1hmk5DTGrqXgawQguXs3+YkJ7OvXYXC7r+nYBUEQbiQiUBMEQfgNVFA1/uiRI/zlL4+/0UMR\nroJ9wyEUWcJmMtA9Hr1m5w0ncxwei7CxrYzg2AiSLGMp8/HLU7/k6GQPdZMLacgtoLa1hNbaENpg\nP0qFC6ml2C8tdegQ6YOHsCxaiKWz8yJnEwRBeHMTa9QEQRB+A+0fCRNJ5Ymk8kxG0lR5rG/0kN70\nCqrG3z99kkS2wJfvX/S6jrVvOExXtRurUb6mGbWfHRhH0+Et7WUEu3tw+v38avQJ4qEMrYGV+Awu\nGiunKYk9Q/5UFk2qw7JyA0gS6WPHSe7chbmlGceGDUjStVtXJwiCcCMSGTVBEITfQJt7ZnipvsSW\nk7Nv7GAEYpk8H/v+Pr65fZD/3DPKWCh11vtHx6Os+dvnGA+nLnCEl2ULKofHIqyq97KkxkPvVJxc\nQbtaQz9D1XR+8MIwqxu8mCaOk00lmXNliIxlaB1dQHlylk7j45TEt6PJbrLG9ciNKzGUuUi+uIfE\nli2Y6utw3nmnWJcmCIIwDyKjJgjCDSGvavTPJDg6EaF7PIrRIPO5Tc34nZY3emjXHV3X2dwzw4a2\nMgZmE2w5MccHb6p/o4f1pjUaTPHxH+xjOJDk9+9o5aFn+3ni6BSf2dh8ZptfdU8yFc3w1LFpfnt9\n02se79hElFxBY1Wjj7yqkVM1Tk7H6apykM9kUQt5NFVFKxRQ1ULxuVB81jQVu8eLq9R/ycHSc70z\njIdSfKGtQGBsDt+CFrZED1B60kSNo5fmhgRKzSL0siWkThTQzAUsLQ7iv/41uaEhLJ0dOG69Fclg\nuKzPURAE4c1GBGqCIFx3CqpG/2yCoxNRjo5HOToRpWcqdiZr4LQoZPMaPz84zifWNeK1mfDYjNy3\npGpe06l0XSc2N0s8OEcmkcBss1HTsfAN+ZZ/z2CQjioXLovx4hvPU/9sgtFQik9vbKLWa+NnB8bJ\nFlTMirhBvtb2DYf41A/3o+nww0+sZm1zKVtOzvF49+RZgdr2vjkAnuudvWigtncoDECDFmRq+BSL\nYr3sfnSKePm501sLqk4knSORVan2WDAaij/jismMt7IKX1UNrlI/itn8mn931EKeHz97gHWFPqpy\nfspaW+mW+pCPRWhQqmi+bTFyaSu5aJLUzmnUcArFmyb2eD/oGvZbbsG6bKmY7igIgnAJRKAmCMJ1\nJVfQ2PTVrUxE0gA4zApdVS4+sqaeRTUeFlW7qffZGAom+cvHjvPQs/1n9i1zmFnbUnrOMQu5HKlY\nhFQ0SioaITQ5Ti5dnGJmNFvIZzNk02maV6y+pjeSW07O8rHv7eOdS6t46IFlV+y4m3tmALijoxy/\nRee5LWM89fgzdFV70TWNTCqBmstjdjiw2h1YHM7iw+nEZLWSSSRIhkMUcjnUQh6b24OnvBJZZEIu\nyc8PjPNnvzhKjdfKdz66isZSOwD3Lq7kr5/oZTiQpKHUzkwsw4npOF6bkX3DIWKZ/AUD94Kq8Wzv\nDMtscYInDuP1eJGtdsY1J8uqGzk4mWIinmM8mmMskmU6UUDDjCrJVHjs/P/3dbHUB6HJccKTE8yN\nDAFgUIwYjEbQNFBVdE0DTUNXNfRCnsHJIIaeaW5pLMEohTh88NukAyo1scWU1shEnjmAlt6NlvKi\nqyZkawSyEsbqahzrbsHg8Vyzz10QBOE3hQjUBEG4rhwaDTMRSfOF21t5x9IqGkvsyOdp5ttc5uA/\nfvsmIqkc2YLGnf+4jUcOjLPUbyQZDp0OysKkYlGyqeSZ/QyKEVeZn4bFy/BUVqMYjYwe62a89yi6\nrlHbsQiLw3HVrzOYyPInj3QjSfDk0Wm+9PYsJQ7z6z6upuk8eXSKJTVuUqeOYe47SUNukuP9GtVK\nBkmSMdvtmB0OsokE0ZlpNLVw0eMaFCPeqmpKqmvxVFRhUMSvjwvRdZ1/3NzH/31+gDVNJXzjweV4\nbKYz79+9qBioPd49yedvaz2TTfvDO9v40mPH2dEX4J7FleccV9V0/vinhxjt6+OT9Wm8Fe0suGUD\n7rED/GQwyI9+WTyOx2akocTLonYrbysxUuk1oEsZvrnrCJ9+rJv3rqrmtrZSZDT0gRnU6QB6KI6e\nyYIkIQHoGqgF0AqEExnm4nFuUlQqZlSCsxoeqQSfaS2OkjJ8lXYMHg9qxIaeN2FdWIK5pRzZZDrn\nGgRBEIT5E79pBUG4rmzvn8MgS3xyfSPOeUwHfOkG+L6lVWzbsZ892lHMiowky1idbpylZZS7W7G5\nPNjcbsw2+zlZs9quReiaxsTJ48wND+LwlVBSU09pbR1mm/2KXVsgkeXD39lLhdtCOJUjls7zT+9o\n43/8/Ag/2TvK525rfd3n+IfNJzk+GeOvbrYzNXCSquYW7NFaHgvk+MO7NmExnp0V03WdXDpNJhEn\nk4iTTaWwOBw4vD6MFguywUAsMEdwfIzQxBiB0WFkg4K3sqoYtJ0OdoWX/cMzffzrlgHev7KWv75/\n4Znphi+p8lhZWe/lscOTfHpjM9v65vA7zXxgdR3/8MxJnjs+zqYGG4Vslnw2Qyye5PDQLNuOjzMy\nOMwHG12sWbyAtjXrkGUDd3Z6GI4OsqbNwMI6GaMxTrowQaaQQUfnpZqQ71mnse2FKCO/7ie7R8Fa\nUEECzWEi58+hKjlyapZkNk0inydeKBDPa+TcGi67neqGajyuFixqF2qmHrPLSttNVVgdRtLHAuiF\nFNYOH6Ya57X/0AVBEH4DiUBNEITryo7+AMvrPPMK0l7pbVUafYkRTuUX81t334bF6USW5zdVT5Ik\n6hcvpby5heDYKMHxUUa6DzLSfRBnSRmldfWUN7XM+3gXcnAkTM9UjGg6z2Q0zV+s9VE+vp+75VEO\n/vIk+zMLsbvcWB1OrC43Ln85Vsf8b3ofOzzB154f4MEOK835SUpr62lesZqPeoJ88Nt7eOTAOB+6\nuR5d10nmVBxmBUmSMNtsmG023P5yAJLZAnf/yw66qt186Z5OKiqq8FZUoS9fRSwwS3B8jODEGMHx\nUWTZgLuikpLqWnxVNShv8izK17YM8K9bBnhgVS1/+65FF5xK++G1DXzh4UP86c+62TkQ4C21Ro4/\n/zT3cpLRXXE2p48yGkoxHEgyGUmj6iArRm5d2syH7l2Hp7yS7uBRekO9xC1hHtgEBsmA1VyC3eim\nwl6BTbFh1RQsyTzGSApD/ywbw/DfEzqTlnLee1s9FnsakhMcHA6xb0ZiNGkiodtI6Dbcbh+V1X6W\nVpezpqGSdDRHPJRB03XKW13UdvgwGGXSvUHyMyksbV4RpAmCIFxBIlATBOG6EUrmODoR5Q/uaLuk\n/WKBWaTR49hL/DweK+O33Ze3HsZid1Dd3kl1eyfpRJzg2AiBsVGGDu1HzeWp6Vx4Wcd9yXCwOAXz\nyS+sJxua4dSeHdi9Ptbe0cRDjx9mNGWgSUkVpyNqKgbFyMJNd2L3eF/zuNlUin1HB/jawzu4z1Hg\nLmsJdo+P5pU3IUkSa5tLWFHv5RtbBnj38mr+5JFunjsxwzceXMGmBf5zjre9b47hYIrRUIqtJ2b5\n5weWcUdnOZIs4/ZX4PZX0Lh0BfFg4EzAFp4cx6AY6dp4Ow5fyev6nG5EqqbzN0/28p2dQ7xjaRVf\nvv/CQRrAfUuqGA0m+eozfZRmA3T4sqiFSjoWdrB5xzj/+5hCXiqh3t/M2jWVbOioYlVTKSZFJlPI\n8OuRpxiJjVBpr2RlyWp8WhmmmIFM7yTZaIJ8LEk+MUcskyesSai6hKzIKM5qFnTZmItG2b1/DofD\nwdFQLYfDbZT6vDRXW6lwWfC7LJiV05lADeaGY1gdRqpbPZTUOLDYi1+kFEIZcuMJzA0uzPWua/FR\nC4IgvGmIQE0QhOvGroEAug7rW88tCHIhuq4zfOQQJouVtW9ZwZefGuAzPzrALS0lrGkuobnMcVkF\nQqwOJzUdC6npWMiJXduYONlDeXMLRvPltwMYCqTw2U2okVkG9+zE5vLQuX4T7bLC/9kT54mEm++8\nZxW6rpOORenZsYXeHVtYeNtbsNiL6+bUQoF4MEA6XiyMEp2dJRAM8eO9o1QbjHz49tXU1NZQUleP\nQSneTEuSxBdub+Uj393LPf+yk6FAkmqPlU/9cD8PvX/ZOeuhNvfM4LEZ+cVn1/K5/zzIXzx6lFta\nSrGaXs4oSrKMq8xfXO+3ZDnxYID+Pbs4sXs7i2+/C5PVdtmf040mksrxx48c4dneWT66toEvvb0T\nw3nWVb5SOhHn3rIkycoAvQOjdLWtZvGtm+iUDAxb+2gstbOxrYwqjxVd10kVUgQzM/RH+ukL95HP\nF+jK3IRztpR8IsP02AkKU+PIhTRGRcNokbBYJUxeCaNVwmTVsNoLmE0q7bZy/ucuNz8Lu8mErMgS\nfPz2Jt69sgaDQUaSJWSDhCQVn2WDhNmqIL3qmnRNJ9MXQrYqmJtEsRBBEIQrTQRqgiBcN3b0z+G2\nGllcM/+bvtDkOIlQgOYVN9FR3cBQOMe2k3M8dXwagDKnmTVNJaxtLgZudT7bJQdudYuWcvjpJ5g4\n0UPDkuWXtO8rDQeSdJoTnNy9HbvHS8f6W89MFXxgVS1f2zrAWChFrc+GzV0M4o5u2Uz3s0/hLClF\nNihEpidRC3mgWODD6ivlh4dT9Do6+dHn76Czyn3ec29oLWVJrYcjYxG+eE8H71tVy8e/t4/fGUJj\nCAAAIABJREFUffggydxi3reyFihWFXyub4JVrXmGUnvYuHKQ7+4c5c+fGee9y9twm924TW7cZjcO\nYzEIliQJV2kZ7bds5NiWzfRu30LHqjXImoZksSBbrddd76zJSJqH947y4TUNlDkvv4jLU8em+OKj\nx4mkcvyv+7r4yNqG19w+l04x3nucmcEBoFhY5AN3rqCmvQNJkolkgty1IkU0O8X+4GHiU3HiuTia\nXmxNISHTILXgCdYgR3KYgzuwDR7BnI/grjHj7qrC4PaAYgKDGRQzGIygWMBVBb5mMDv4yjqVY5NR\njk9E6ap2s6rBd8nXnp9MoMbz2BaXIhlE2X1BEIQrTQRqgiBcF3RdZ3tfgHUtpRfNRpzZR9MYO9aN\nxeHC39CEJMv8zf2L0HWdsVCa3acCvDAYZPepIL88MglAtcfKJ9Y18vF1jfMem83lxt/QxPRAH5Wt\nCy67wEhwYpQ10jjO0sW037LxrCIcH7ipjq9vHeDhvaP86Vvbi+d1e+jcsImp/pOkIhEKuSze6jpm\nZBerOuoxWa380SPd7Iym+eaHVlwwSINiVu1fP7CM/tk4C2oKnIwc5vP3aPzTs9P82VMnOBKsYlN7\nGcem5khb9+H0lTMa97OkzM8qV5j9B4+xQJrCgopUUJHzKkoBHJIZBxbsmHCqRkoCGYbHhknv2Elj\nWSWyLIMkoZSVYayuRvF5ke32Mw/JYrmmLRHyqsZ3dw7x0LP9pPMqEvCHb1lwWcfaPxziM/9xkK4q\nFz/8+Go6q84/9U/XdeLBOaYH+giOjwFQ3tRCTedCTJZi77Ph6DC7JncRyUQhJ2PV7dglB069lDLq\nMetWTJoFQ8KCntGQJ49TNroZez6EqbkV+8Z7URoWgtUL8/g8rSYDqxp8lxyg6XkVNZmnMJsmN5FA\n8ZhR/G+e7KkgCMK1JAI1QRCuC+PhNNOxDGua57++KTA2QioWoe3mdWc1q5YkiboSG3UldTywug5d\n1zk1l+CFU0GePDrN/368h3Re5Xc2tcz7XLVdiwiMDtO/9wU6N2y65MIic9OzuGZO4F3USMe6W88p\nb1/tsXJbezk/3T/G793ReqY5tdNXivOml6eC/ujFEb70i2MsqQ2zvM7Dfx+a4I/ubOOurooLnlvX\ndYKZINO5Iab0Pk4MRAGQJZm3LZdRlSQ/PXKEQKacTB6kTC2/23Abpd0HyRx4lK5EnO6JGGWDFmpK\n7WTQyOkaGV0lK2mkFZ1ZSWfSJGMoKaWiq4V0WGWq1E5Lx1KkbI785BTp7iOgamcPziAj22woPh+m\npmbMzU3I1nMbN18Je4dCfPHRo/TNJLijo5ypaJpnemYuO1DbNRBEkuDhT9183r5naiFPYHSEqYE+\nUtEwBqOJypY2ylvazhSJyak5Xpx8kaMDfdhDpTRKrbgNbozy2ceTDRKKyYC1MIH5+BNYAqcw1zbh\nuP8PMDa89s+xruuggV7Qio+8hp5XQdXRNb343zm1+Kzqp/un6WfeR9XRVf3M/gCSLKGUWLC0eUUT\na0EQhKtEBGqCIFwXXiq00eKfXw8zXdeZ7OvF5vJQUlP3mttKkkSL30mL38lv3VTPHz9yhL9/+iTJ\nbIHfv6MNkyK/5v4AZpud5pU30b93NyPdh2lcugKATDLB3PAg6XgMXdfRNa340PXiDTJgUBRODY+T\nlxQaV6+7YA+yD62p59neGZ46Ns07llafd5tHD01Q4bIwEU5xZCzC2xdX8vnbzn+jrus6o/FR9kzt\nIZAOICFRYa9gZflKmjxNZ4KBTyxU+eJ/7uH55wYpyyX5vBIh9Z1fcCIvkffeglzjZ84XZm84yv2L\nKyj3GfFadSw2DbNZQ5FVdK3AeGqaF8In2Fc4gkc2UjI+hBTppr2jBvuCJvSb16HJTrSChJYtoCWT\naMkkajJJYWqaxJYtJLZtxVhdjbm1FUtbG9IVKP0fTGT5mydP8POD41R7rHzrwyu5s7Ocb20f5MtP\n9p6ZbnqpDo+FafU7zgnSdE1jrOcoUwN9qPkcdo+X5hU3UfqKdYPBdJDDY90MjI9SmFUo11poKW/E\n47djc5kwWRQURcOQC2OIjqKND1IY6Sdzoh8sDmz3fxRDwxoK0Ry5Q7Po+WKgRUFD1wFNBx3QdU7/\nGL4mSZaQjDIYJCSDVPziwyAhG2WQi69hkJGtCrJVQfFaitsLgiAIV40I1ARBuC6MBFMA1JfM74Y5\nNjdLMhKmecVNl/SNvkGW+Op7l2A0SHx96ymePj7NV96zmBX1F58CVlbfSCIcYqr/BJGhQXJTkySD\nQSgUMJtMSCYTstGE/NKz2YhksSK5XEQLCicdbTRXnT5PLgmxKUjOgayAxcX6cicLfDL/+cLIeQO1\nsVCKAyNh/uSuBTx4cz2be2Z4++LK815/Vs2yeWQzo7FRXCYXG2o2UGdrIB+GwP5RDg3tQEtn0DMZ\ntGyWezWNjnySUCxJvU8h5qrG3dWOs7UTZAlTKM2vH+vh0Uk7b/dWQoriA1BMBsw2BavTxNvazUyk\nu9kzvZd+zzRTwxlCAzG64ifw2U+gGGQMUFw3ZXaC1QEeB3pLIwXZT24ySLZ/gMTzW0i98AKWxYux\nLV2KdJll/w+MhPj49/eTyhX43K3NfP62Fmym4q++OzvL+fKTvTzbO8PHbpn/VFgoBsGHxyLc2Vl+\n1uuaptK/5wWC4yOU1NRR2boAZ0kZkiSh6zrT4VkOnDjGyOAMUtqIz1JLpaec9kW1lNU6IT5F/sCv\nyI8OUpiZIRtJouUKIMnoZiemRRsxr3oHhaBG/kQY2WJAMhUfstWIpEjFwEqSQKI4DVI6HYgpMpJR\nRlJkMMqnA7LTAZoii8yYIAjCdUYEaoIgXBdGQynMiky5c35VFSf7T6CYzJTWNVzyuQyyxFfes4S3\nLazki48e47P/cZC9f3HHvPatqW8isXMnqZkZJINMRZmf0opqzCYzejaDls6gZdLomSxkChBNI8cz\n9BQ86LpEgy0NPdtgtodXpzpk4G/8Ibb0h5nZvI/ymmZoXA+W4tqzl9bZ3bekCrfVyHtW1Jx3jIlc\ngicGnyCUDXGzfy1lsVqiPRmOj58iPz6BFA9iV+IoJhnZCLJFRzJolJWrJFSdmkY3JWvvRvFVnTlm\nHXBLJsVDz/Zzb0c7naUOMqk8uVSBbKpANpUnPJ0kMBbHXdbMPQ2LGa0d4KD/RY4eG6Z/soBXseK1\nm7GZDNgMMg5jFochi0WawqQdwWiUsTl82Dos5MOQHhgm9fgRsnuex3H3/Rib2i45mPjX5wcwKTI/\n/+x6Wvxn9/hqKLXT6newuefSA7XRUIpwKs/S2pdbJxTyefpe3ElkepKGJcupbG0nkUhzuOcEY1PT\nzM6EyaYKSJJETXk1S1a3U1buweo0QiZK9pkfknixGzWpoJtdyM7lGBrKUNzlSK4SZJMVXZfIjecw\nuE3Y2v0oJdd2jZ8gCIJw7YhATRCE68JIMEmdz4Y8j0Ii6USc8OQENR1dF5xGOB+b2v18fF0jf/V4\nD8FElhLHa1f/yw4NEX/2WSpNNuzvfh/m9nZki4VUroCmg8P88lh0TUPPZCjMzpI+egyefIE/DY0h\n/WQrWmsFcv0qct5GTuQj5AsZzGoBs5rHWprk0PABSsczPGg8jjLXCzWr0CuW8NjhCVbWe8+appdX\n8wQzQeZScwTSAebSc4QyIQySwhpup3DExHhoFPPcKVyRcZzGMKXNaaw1biSDDCZ7MbNlcYHZXQwK\nKxaC8dx1Yp9c38R/7hnl7zaf5JHPrMHuOfvzUvMasyMxpodiRPcFMNvKuKPqPczdMc5IoIfpkVNM\npcIQLaDnClBQAQlFNmBCxqYWcEhB/F439SVeKlc1kZ+cJHGgh+jXDyHb7RgrKlCqqjFW16FUNyA5\nSsFeBoZzfw5mYhm29c3x2VubzwnSXnJnZznf3D5INJXHbZv/NMvDYxEAltYWK5RmU0l6d24jHYtS\n3bmMvukkzx38NbFEAnQwmCRKSt3UdPppq2+kxHe68Iuukzu2l9ivdpGPgGRfhGlZJ0plObLFWMyA\nnc6CSUYDst2I4rMgW8Wvb0EQhN904l96QRCuCyPB1LynPc4M9CHJEhXNra/7vK2n18T1zyZeM1DL\nDg0Re+JJlNJSXG97KwZ38UZb13U+8t29HJ+M8YHVdXxyfRMVbguSLCPZbJjq6zF5ZNLd26mRUqSm\nPMQ1B1NyiEPJYTJ67pxzJVrgq4EZMo4mblZVFo7sJnx8K0sDcdaubqe3P8QUGjOFJJFsBB0ddB2L\nwUyZxcciZwuOUxZSfT3YAn2UR49js6jYmv1YGsuRqtdA9XKw+s4b4FyI3azwB3e08ef/fZRnembO\nKWBiMMpUtngob3ITnk4yNxpn9lQSdA+NxnW0lKwjX5pHJU9ez5NTM2TzCbK5JKlMjHg6RDATZ3gu\nwb7ZMZbcvJ4N934U7/pJMge3kx8doTA9RXb4RVC3I8kyiseGpbEC88qNSFVLwfFyA+9fHJxA0+Hd\ny8+feQS4o7Ocr289xfMnZ7h/2YW3e7VDoxGsRgNt5Q7ioQAndm0nn8mBu4nn958iVUjhLDOxoKmK\npopqql3lyHnQMyradJJUzyDqzCTZU2MUAklQFGy3dGHfuAaDy3ZOzzJBEAThzUcEaoIgvOF0XWc0\nlGJt88UbXeuaxtzYCN7K6tfdVFkvaFQXMnSZp/hV3+Ocyiqomoqma6j6y8+maJpFL85SW91B6bvu\nP2u91P6RMPuGwyypcfP93cP88IUhHlzk4hPL7NQoUQgNQmKWlJrkwJp3YV1kJ7RjC6Zn99NSUkHz\nHffj71xOTs+TVbNkC1kaLHN8/uE9DAcVtPI0exQ7J2fmGPOOUF2YZPIYmGWFCqOTFsVGqWzGrVrQ\nUzaSsQThkJHoTIHS7Ch+n4rtjk1Yl65AsvvA5jtvtuysz0XVUMNZ1FgONZErFqYAkCTuM1s44rLz\n3KMnWKsZUAzy2WuhTj/bJbCXWSm4TcRDWbKZAoWUiqbKaJoZXTOh6zY0zYuuQTpXoHsiQjKTpava\nQix4gqFfHyMyEWfjxrfiWvc+LEqxwIWWTFGYGCM/eor8UD/xEwNkRh7BsXAXSmUDVC1DL1/IIwfG\nWFnvpanswgVqltZ4qHBZeKJ76tICtbEIi2rcRKfG6d25k0RMJW4oIR0Yx+2S2FDfQbnsRAsk0Mdn\nyORHIJ+GfAotGaMQjaLGYmBUMLXV4Xrn3Sill97LTBAEQfjNJQI1QRDecHOJLKmcOq+MWnRulnwm\nTdllrE17iZYpkB2KEh2dYzxwgvWKhqdfodbnR3PJYDEgKzIGyYAhEIFDLzKTC9DdHKV19kU6Szqx\nKTYS+QT/tG07dSXH+OgSI9nmCEPjk0yNJvg/IzoVLitNNdWUVXXxfw2wzjlEiVRK23330ZnxYTrY\nS2HbfiI7DmBwujB43Djdbm51ulgveRjsdvE7n+lkNDbKk0esRCwt3LlhI+WqhPHUGKG+KRIRjZmE\nzGgGtHwBCTAbclT6FKrWvx9TexcSBgo5FT2uoQdzaPk05E9XB9Rfrg6IfjpIi+aKZdkB2aoUi028\nYpv3LqjgJ/vG2H9kmpV13uJ76C8f73QF/peOYTv9SOsaoXSOTF4jk1fJFFTSeZVMTmVgLkmuoGGS\nZY6Pprm1YRnZaS/JA2EODG+jtqmWMmcpBtlQLHyhOJGcyzAuW45UPU325BGyR+Ywj85hqdjKnLqb\nzjkD77hlGdmhEMVokjPPWkElGggRC4b4FEGOHJpkqNGL1+tk58lp3F47N3dVwnkaOedUjdRYnHeU\nqxz7j0FyORnZ4sVnK1DqdVJrkDGOHEHLRtDzKcin0XIZNK1YFl/TDcjuMuxr12NbvvxMdlYQBEEQ\nXkkEaoIgvOFGT1d8rJtHoDY3OoRBMeKtPH/5+vPRdR0tVUCNZFHDGfIzKRK5OPvoJtOq0RuoZ3nW\nwZJoDURP9wuWCuTHhyjMziHbF9D6wQ9xWB6jN9jLscAxAMKpHCcDvdxTEkSNelEsLlrbF1ApWdk7\nWeCno2nSPRolY6fAlGFh6UY+2HE71qwJNZpFXVFHfnQSNRxBS6fJTaTQ+qfQC2N8Mp7g5MAgfDdE\nu9/L8j0F2v0uLP91itFwgVzegIQXo8mA26ZgLjFhdZgxO60YrBYks4NCAgr7A+d8HpJyuvKfzHmr\nA5pqnSg+CwaPubjdq6zQK/lKIMyfDE+z9b0dZ63NO99njw6hZI67/3Eb0XT+rPdNssz/Y+++w+Mq\n7/zvv8+ZXjSjGfXeLBfJljvYxgZjioFQTAoQwoZs9pfN/vZJIW2z2fyyIRvYJ/k9bLLZZNmETSPZ\nBAMpQIDQQjHG4F5lucjqXTOa3st5/hgjYyzZsrFsDN/XdfkSnDnnzH10IaPP3Pf9/bqsBprq8/jK\n2tmY9Sqf+c1OftU1yHOfWc3+Z5+n90gHAx0hDHkOLGYjDrMVh8WG02In35SH0VGEefZKkn19xEZH\nCXsT9IT83KxPsaD/EIGeDtIZlVRKIRZPE4unSSSTuWCpqMxSDBRkUnQ8uRmjwUA8GCep6mjdUYrZ\nbkNBOZbzUAjGU3w8HqJkKE7cqpIoVXAWeJljTGD39pMcGSYeUcGUDwYzGPPQldajdzpRHQ70RcWY\nZjainmElSyGEEO8PEtSEEOfdeGn+U/SyyqTTjPX1UlBZjaqbvOG0ltHIhJJk/PFcIPInyCZz0zyq\nUSVWkOG5zGYMVhM3NtzItu4O/ufgKJ9ZXkbaFyG6o5Xk4W60rAF98Uz0paXoegysrFnC8lnL6Ah3\nktWy/OalQ6wL7uPziy/FseJv0AzW8ZmnOzUIRFM8tqOP32/rQxuL8GHjQrKbfIRTubFkM1l8YzpS\nKRda1oVm0sgaNLR0BkWNoUt5GRzTY/Olma8WUJK0EwlYsNj1FBTYsJe5MNhMucClHi3LfvSratKh\n2g2o5tyMmGLUHS1Mocv1xHoHFEXhn66bw7r/fI0HXjly0obRbwbBn2/qxBdP8aPbF1FTYMVlM+Ky\nGrAYdCdULfzajU3c/tPNHAiluPSOdez9ywscOXSYVDaGP25gKKYnFTChHG067rI7mTtjBqVzFpIY\n8bL+t39BGw6wqLKA/R49MS1CPBkkngqRVdMoZhV9qRXNqSNlDRDNDtPWHsQRt6Cgp8euQ03YmBvI\nxxU1kZst1NCAYDzFSChOliSemTqq69JcPJbE0ZMg6deImAtQixdhvXQehspKdA4Hal7ecQ3ZhRBC\niKmQoCaEOO+6x6KoClS6Th7U/EMDZNKpSUvyZ+NpYq1eMv7EsaV7Vj36Qgu6/NwMUUQf45n2P6IY\ndNzYcCN5xjwaS+z8blsP3v170e3ZSTaewLpgFtZly1CtNjKBBImuIPHDfpROhYaycnT6OM2tj1Nt\na0bJXEPglQlmroCb0XPz/BqS6SymUAp9sRV9gZmEqtC510PaZSG/2IqqU1CPNhZWdQp5wL/+Yiur\nnE7KrCaeDAzzhWubqJlXRJ77/JdkX1CVzwdayvjvVzv52LIaShyTt1XwR5M8uKmb6+aV8YGWslPe\nu7kitxRwb5+fy2YWMe+KK3GVlxEYGSLi86FpWRLpBCmDnpheYTA2wMY9fvIMTtr6E/QYXKxeUUcy\nMYynfzOZ+BiKmsJk1LAYdejjKsqgiiFgx+B2Yyqch9fu5bVIHxZjhGWNKr3+QToMOuaWl6JLZUlG\nEnQPBIhpcdwuhTl5ZhYGrDg2GdGMbpIFDZhWz8XU2IihokKCmRBCiHdMgpoQ4rzr8UYoc1owTrDM\n7k2ZdJr+A/sxmC04i4onPCd+yEcmkMBYlYcu34TOaUI16chqWfpD/bR72+kIdKChsW7GOvKMuZLt\njcV5zB9tZ/DZA9TMbcRxyQoMxcfeQ+8yo3eZyQQSJHtDpLpGifbtpjDpRqtagK7YhcFqOLpkUpmw\nuIZVr+Z6Xhl0+IejtO8YQW9QmbOiFJtz4mqTxbNdPOeJsLTAwmGXyvLLqs57QHurf1g7i+dah/j+\n84f4zodaJj3v5691EU6k+eyaGVO6r9NioL7Qxu6+AAA6vYGaeQuAXK+ykHeU4MgIgdFhIr4x3Do9\nodo0o8ZhNvbuoaFKR9RtpMMXwTDPTPnM1RQ5inBixp42YMvqMacViMXJjI2R9o5RGM0jsMeC3ZTH\nrXm1tHZ1MdjTwcq6IMOhFB3eOM2qjsayUqoLHahJA7rSWgwNszHV12OoqkI5ySyvEEIIcbokqAkh\nzrvusZOX5s9mMxx6YyNh3xizlq+acLYi7Y2RGo5ibsjHVO8kq2UZCA/QPpILZ/F0HINqoM5Zx/yi\n+RRajlWYbHDomOXrpX/RYlrW3TRpGNI5TVh0Qcy+F+gvCvHt9kr+ZXkD1uaiKT/rUGeAntYxbE4j\njUtLMJon/2t4RUMhLx0cJZjIsLAq/10V0gBqCmzcsayGBzd18cmVdcwsyQXfkWCcPX0B9vYHaB0I\n8OphD9fOLWV2qWPK926pdPJGx9gJx/UGA67SclyluWbcqXicntbdDHe04/cmKe2xc+m8Ihry3Lhm\nVjB7wXIMp9gLpmkarmCQmvLtNDl1OIrMzJ7bwo8e3sMjMR0xvZ7L1pTzqTWzKHDZUUwmVLMZ1WY7\nje+WEEIIcXokqAkhzrseb5Srm0smfE3TNI5s34JvsJ/6RRdRUFl14jkZjfiBMVSrnrGiKIf7dtPh\n7yCajmJQDdQ4apiRP4MqRxUG9cSmxu7uw1iULHsL6rnuZGForBNa/4CiM7KjYC2DDDCjZOJGyhM9\nR1+bj8EjflylNuoXFqE7yQwiwIoZBQB4wgkWVbum9D7n2mfXNPK7bX18988H+NknlvLotl7+4fd7\n0DRQFWgosvOBljK+fJJ9bBOZV5nPY7sGGAnGKT7JskqD2UzD4ospbZjJs4/voNPl5IN3rMWZP/VK\nioqioHM6+ds71owfswHNoQJ29vi554YmltUXnNb4hRBCiHdKgpoQ4rwKJ9J4I0mq3RPPTvTs3c1o\nVwdVzS2TNrhODYbJRNOM1Ed4/sjL6FU91Y5qGvMbqXZUTxjO3pRNJIjv3Uu6soZ90UmCk6ZB72bo\neCXXh6zlFlpfGsCoU6lynbwnGUAmnaVn/xij3UGKax3UzC2Y0uzYnFIH+VYD/miKxTXvzqDmthn5\n+8tn8N1nDnD/y+18//lDLKsr4MtrZzKnzIHVeGb/m5lfmQtae/oCXNk0eVB7k9WZz3MDsLCp/rRC\n2snce/O8s3IfIYQQ4kxIUHsbTdNIZzUMOtkILsS50OWJAEy49HHgUBv9B1spbZhJ5Zy5k94jNRAh\na1XYGN1MsbWYmxpuwqCbPJy9VXzfPrREAubNp3UgyOO7+qktsFFTYCXfYoBAH3S/lptNK5oFs64D\ng5kjI4eoK7TlGj4flc1kScTSJKJpkke/RoNJgp4YWlajvDGfilmuKS9hVFWF5fUFPNs6REtV/pSu\nOR/++pJafv16F//3mYPUFFj5rzsWkW99Z6Xnm8udqArs6fNzZdPEs61vta8/yGAgzhevmvmO3lcI\nIYR4t3hfBzVN03hgQwcAn76sAYB/fbqN5/YP88pXLj+fQxPifWNvf65gxJyy4/cvjXZ30rV7BwWV\n1dQtWDxpuMlEUqQDCQ45u4hn49xQdcOUQ5qWzRLZvZd0cRUtJXU8dbiNb/5mNxYSzFD6mWscosKU\nxG4zs/K6ayictfxokzVoHwnTXO4kEU3Rd9BH0BMnFU8fd39FVTBZDZTUOnCV2chzn3pm6O3uunIm\nV84pOWmvsvPNbNDxzzc08Z0/H+C/P77kHYc0AItRx8ySvPGCIieTzWo8uXcAVYE1sycuNCOEEEJc\naE75f35FUX4OXA+MaJo29y3HPwv8P0AGeErTtH+YtlFOo739AZ7ZN8TyhgIUFH62sZOsBol0BpNe\nKngJMd22d/tw24zUvmVGzT80SPvWN3AUldB40YqTljpPDYaJpCLsUtpoKWw5rkjIqfj3tnO4xwD1\nldQGs/zngkJivgFS4TESKSP+7Ex6U072dxvxbLRynT5AQbmNrF5hxBPlplI3e1/uAxTcZTZMNj0m\nqx6jRY/JasBo0uX6mr0Ds0rzmFU6tX1w59M1c8u4Zu6pS++fjpZKJy+0jaBp2nhQ1zSN3rEYe/r9\n7O0LsKcvwL6BAKF4mhUNBRTYJ66gKYQQQlxopvIR7S+BHwG/evOAoiiXAzcB8zVNSyiKckF+hKko\nCveum8f2bh93rd+F3aznaOsl/NEUJQ4JakJMtx09PhZVH6tomEmnOfjGRqxOJ7NXXHryxtZZjdRg\nhA5dD0aLiaWlS6f0npqmMdwV5PDz7ahGM42XzcA09Bqqrg2lyAJFs1GKm8DmQtM0rv3eBmbGk/S1\njdHXNoYvkWZBXE9hAtxldipmuzBZ3r0zXheqlsp8HtnWx+3/vZmGYhtdnih7+wMEYikAjDqV2WV5\n3Di/nJZKJ2ubS8/ziIUQQoiz55S/WWiatkFRlNq3Hf7fwHc0TUscPWfk7A/t3HBaDfzbLfP52E83\no2lwTXMpz7QOMRZJnrSBqxDinfNFknSMRvjw4srxYyHPKJlUkuq5K9Cfoqx6xhcnGArQaetnQfEi\njLpTL7nLZjV69nkZOjCMNe6h8aomHMYuiO6G2RdD3WWgHh8Oq6sdbI0n+dJllYTG4nTtGqLbkKXl\nyirqa91n9Ozi1D4wr4wDQ0H29AV4bOcAtYVWrptXyryKfFoqncwsyTtp7z0hhBDiQnamHwHPBFYp\ninIvEAe+rGna1rM3rHNrRUMhX79uDh2eCDe0lPNM6xC+SPJ8D0uI97ydvT6A40rP+0eGUFQVxyRN\nrd8q5YkxEB0gXakwt2DyYiOZTJbwWJygJ45/OEoslMStjZLvCmOvL4L9j4CrBupWwwTLLJvKHDz4\nejcGm54Sh4PB9mEGDFlmlp+d6oJiYi6bkXvWSeVFIYQQ709nGtT0gBtYBiwFHlEUpV5nFad6AAAg\nAElEQVTTNO3tJyqK8rfA3wJUV1ef6Tin3f9aVQ/AwaEQAL5o6nwOR4j3he3dPnSqwvzKYxUNA8OD\n5BUUodOfuiCIb2iUQd0o80sWHFdAJJvViPgTBD0xgp44YV8cLauhqAq2fBN181wozzyPsaEOteMZ\nMJhhzo0ThjTIVSBMprN0jEaYVZpH+2iYinwLFqMsjxZCCCHE9DjToNYH/OFoMNuiKEoWKARG336i\npmkPAA8ALFmy5IQg927jsuV+2RuLyoyaENNtR7efpjLHeOBJxeNE/D6qm+ef8tpsMsPQSB8pN8wt\nzM2mJeNpuvd6CXhiZNNZAKxOEyV1DhwFFvLcZnQGldiePYRTSSzWYYj5YcFHwWSf9L2aynMVKVsH\nArmgNhJmRvHk5wshhBBCvFNnGtQeAy4HXlIUZSZgBDxnbVTnketoWWlZ+ijE9Epnsuzq9XPLkmP7\n0/wjQwA4S09dFMI/4sEX91NdWYdRZySbydK+bYRoMElhpR1HoYW8QjOGt816aZpGbO9e9IY4hkwY\n6ldD/sln++sLbZj0Kq0DQS6fleTISJhLG6deXVIIIYQQ4nRNpTz/Q8BqoFBRlD7gm8DPgZ8rirIP\nSAJ3TrTs8UJk0KnkmfSMSVATYlrtHwwSS2VYVHNsf1pgeAi90YQ9/9QFOo50H0TTacypze1h6mkd\nI+yLM2NxCe5y26TXpfr7yQz2kFfqh4IlUL3slO+l16nMLnOwfyDIbzZ3k8xk+eCiylNeJ4QQQghx\npqZS9fGjk7x0x1key7uGy2bEL0sfhZg23nCCLz2yG6tRx/KGAiA30xUYGcJZXHLSvmkA8XQc79AQ\nBYVF2E12vP1hRrqDlM3IP2lIy8ZiRDdtRA20Y1q2EOZcP97A+lSayhw8tWeA9tEwl84suiB6mwkh\nhBDiwiV1jSfgshkZk2IiQkwLXyTJx366mV5flJ/duZTivFwbjFgoSCIawVl86mWPrcP70MdUaqob\nyKSy9Owfw5ZvonKWa8LzNU0jvnc3Y/91H6ndL2BtLEBp+SAYLFMed3O5g2A8zWgowadW1U35OiGE\nEEKIMyEdWifgshrwhmVGTYizrccb5RO/2EKfP8bP7lwyPpsGEDi6Py2/pOyk98hqWbp62qkyuHGX\nFtN/2EcqkaFxSQmK+rbZsWyWdMdOwn9+jFR3OwaXBftlc9EvuBYc5ac19jcLiswuzWPlDNmfJoQQ\nQojpJUFtAm6rkfaR8PkehhDvKbt6/fzNL7eS0TR+878uZunbGkX7h4cw2+yY7Sevptgb6iXrT1Jk\nLyKpKAx3BimqzsPuMuVO0DQIDaH17yG68QWiB3tRTCbsV1yBeflaFGfllJc7vlVTmYOmMgdfuGom\nyhlcL4QQQghxOiSoTcBlM0rVRyHOoudah/jc+p0U5Zn45V9fREPR8WEsm80QHBmmsLr2lPdq9bTi\nSFopLCuh94APVadQOfvokseYH/b9jmTHEcL7Bshgx7z8Omxrb0a1v7M9ZWaDjqc/v+od3UMIIYQQ\nYqokqE3AbTMSSWaIpzKYDdLQVoh34hevdfIvT+6npTKfn925hEK76YRzwmNeMukU+SUn358WTobp\nDnRzqdJCEoXASJSqpoLxEvzagWcJvbqTRDwfXePlONdchbGyYlqeSwghhBBiOklQm0C+Ndf02h9N\nUeqUoCbEmchmNe59uo2fbezk6qYSfnDbwvHG1m8XGB4CFBzFJSe95x7PHgxJHYWGQkZGYhgtekpq\nj86UedqJ79xMIpqH9eqbsC5ejKKTn18hhBBCXJik6uME3G82vZYS/UKcsXueyoW0T6yo5b/uWDxp\nSINco2u7243BeOJsG+SqNm4e3MyukV3MNDSgxVQiiQwVs1yoOhUyabTDzxEbSqBvXIjtooskpAkh\nhBDigiZBbQIu29GgJvvUhDhjrx4e5bKZRdx9YzO6t1djfIt0KkXY6520LH8mm+HFnhfZPrydOe45\nLLbNJzQWx+Q2U1hxdK9b7xuk+/vJGMqwzJs3HY8jhBBCCHFOSVCbgOvojNqYzKgJccaGgnFqC6yn\nPM8/2I+mZXGVnlguP5FJ8GTHkxz0HeSi0otYXbWayECUhAZlja5cOf6YD7pfJ+Y3ozhLMDU2Tsfj\nCCGEEEKcU7JHbQIuW26PmsyoCXFmosk0oXiaEqf5lOeOdndistrIKyw67ngoGeKpjqfwJXxcUX0F\ns9yzyGazBLpDqHYjBeW23IntfyGbTJOI2rEsnI1iMEzHIwkhhBBCnFMS1CbgGt+jljrPIxHiwjQU\niANQ6jh5UEvGY/iHhyifOee43mSemIenOp4ilU1xff31VOVVARAajJCOpHA3F+Rm07xHwHOYeLIc\nlBDm5ubpeyghhBBCiHNIlj5OwKBTyTPrGYskGQzE+Kc/7iWWzJzvYQlxwRgKTi2oeXt70LQsRTW1\n48dSmRSPtz8OwLoZ68ZDWtiXoGfbCKpepaDBmWts3bURzeQg7tEwVFSgd7snehshhBBCiAuOBLVJ\nuKxGfNEkD27q5rebe9jSNXa+hyTEBWP4aFA71dLH0e5ObPlurM788WMdgQ4SmQRX1VxFoaUQTdMY\n7grStmkANZmhoMKO3mkCfzcEB0jp68gEw5jnymyaEEIIId47JKhNwmUzMhZJ8sSufgD29QfO84iE\nuHAMBxMAlJxkRi0aDBD2eY+bTQM46DuIw+igzFZGJp2lY+co3Xs9OAvMVJZaMReaUXQqdL8ORhux\n4Qyq1YKpoWE6H0kIIYQQ4pySoDYJt9XAls4xBo7utdk/EDzPIxLiwjEUiGM36bGbJt8GO3zkMIqq\nUlhdO34snAzTH+pnpmsm8XCK/RsH8A5EqJztptJuQElkMDe6IDgAvi4y7nkku3swNzVJ3zQhhBBC\nvKdIMZFJuGxGEuksFoOOJbUuWgdkRk2IqRoOxilxTNy8GnK900a6OiisrMFotowfP+w/jIZGcbyK\n1l0DqDqF2ctKMSczxLoCmOqd6AsssO9p0JuIj+X+CjM3NU37MwkhhBBCnEsyozaJNys/XtVUwkW1\nbrq8UUJxqQIpxFQMBeOUnmR/2kjnETLpFKWNM8ePaZrGwbGDFOtLGd0fx+owMvfSCmxmHfEDY+hd\nZkx1Toh4YPQQWulC4m0HMdbWonM6z8VjCSGEEEKcMxLUJuG25YLaTQvKaa5wANA2GDqfQxLigjEc\niE+6P03LZhk6coi8giLy3IXjx0djo4zFxyiJ1KJp0LCwCINBJbbXg6JTscw7WpK/53XQ6YlHHGRj\ncSwLFpyrxxJCCCGEOGdk6eMkLp9VTLc3wqrGInzRXOPr1oEAF9VJ+W8hTiab1RgJJSYNaiNdHcTD\nIaqbW4473uZtQ4ces8+Js8SCyWogtt9LNpLCurAY1aSHmA+G96NVLCK25QD6oiIMFeXn4rGEEEII\nIc4pmVGbRFO5g//74fkY9SrFeSYK7Ub29UtBESFOxRtJks5qJ/RQ0zSN3v17ObJ9M3mFRbgrq8Zf\nS2VSHPYfpirdgJZSKK5xkByMkOwPY6w9ui8tHoRDz4KikNLKyYz5sCyYf1yjbCGEEEKI9wqZUZsC\nRVFoKndKQREhpmC8h9pbglomnebItjfw9HZTVFNHw+KLUdVjVRrb/e0kM0lcwXJMNgN2q57o1iH0\nLhOmWjv0vAFdG3NNrhuuILr1MKrNhqmx8Zw/nxBCCCHEuSBBbYqayx1saveQSGcw6aUMuBCTGTra\n0uLNYiLJWJQDmzYQHhujet4CKmY1nTAL1jbWhiPtRo2YKJqTR3yfF0VVsFREULY/AVEvFDbCjCtI\nBRKk+l7HdsklUpJfCCGEeBdKpVL09fURj8fP91DOK7PZTGVlJQaD4Yyul6A2RXPLnaSzGoeGwsyr\nlApzQkxm6OiMWqnDTHjMy4HXXiGTTjNrxSoKKqpOON8T8zAUGWJ2bAk6nUJBoZn44REs1oOoB/aB\nJR/mfQQKZwAQ/ctTKGYTlrnN5/S5hBBCCDE1fX195OXlUVtb+77doqBpGl6vl76+Purq6s7oHrJH\nbYqay3OVH2X5oxAnNxyMoyqgC46w7+UXUFSVuZdfNWFIA9g2tA0DRqxBN+5yO0owBAM70SXaoW4V\nLP3UeEhLezwkOzuxzJ+PYjSey8cSQgghxBTF43EKCgretyENclunCgoK3tGsosyoTVG124rdpKd1\nQAqKCHEyQ4E4RTYDXTu3YslzMGfV6uOaWr/VaHSUjkAHczKLULMqxTV5ZHa8ikIKdfntkFcyfm5q\neITwSy+iGAxYWlomvJ8QQggh3h3ezyHtTe/0eyBBbYpUVaGpzCEzakJM4jebu7EYdPT6otQbwqQS\ncWZctHzSkAawZWgLRtVEvq8Ug9OAzRAiMtCHrrQa5WhIyyYSRN94g9jefagWC3lXX41qnryZthBC\nCCHEe4EEtdPQVO7g4a29ZLIaOlU+JRDiTSPBOF//477xf/+w3YPZXkZ+Sdmk1wxFhugOdjPftIRU\nOEvlfAe0/5lsyoKxvhlN00gcOkRk48ZcY+uWeVgvvhjVZDoXjySEEEKI95C7774bu93Ol7/85fM9\nlCmToHYamssdxFIZOj1hZhTnne/hiAuApmnAe3/6f9MRLwDfvqmZtiN9NAX7KW1onPS5s1qWV3pf\nwaq3YR8uBatCgXGAzEAfmuNi0GsE/vgYqf5+9KUlOG64AUNx8bl8JCGEEEKI80qC2mmYW5Gr9tg6\nEJSgJk4pm9VYfd/LfPqyej52cc35Hs60eq3dg9Ni4PaLa+jQDeDtc1JcWz/p+XtG9+CNe1lhWkMi\nlKZ+ngP1yB9JqSVoxgJCzz+BYlCxX3455uYTy/kLIYQQ4sLwrT+1sv8s13hoKnfwzRtOXv35V7/6\nFffddx+KotDS0kJDQ8P4a7t27eLv/u7viEajNDQ08POf/xyXy8V//Md/8OMf/xi9Xk9TUxPr168n\nEonw2c9+ln379pFKpbj77ru56aabzurzTEaqPp6GGcV2jHpVCoqIKQnEUvSMRXlqz+D5Hsq00jSN\nTUe8LK/Np3PHFka7Oympn4F+kqqMvriPrUNbqbbXQL8Vq9NEQWwzpGKk85eS7OtE0Sm4brsNy9xm\nCWlCCCGEOC2tra3cc889vPjii+zevZsf/OAHx73+8Y9/nO9+97vs2bOHefPm8a1vfQuA73znO+zc\nuZM9e/bw4x//GIB7772XNWvWsGXLFl566SW+8pWvEIlEzslzyIzaaTDoVGaV5ElBETEl3kgCgG3d\nPuKpDGbDe7M5c89YlKGxEB93DzLSCZVz5lLVNO+E86KpKDtGdrDPsw+9qmdWcgG+WIK6ygDK4B6o\nXkZie5Bs2EPedZegy5NZayGEEOJCd6qZr+nw4osv8pGPfITCwkIA3G73+GuBQAC/389ll10GwJ13\n3slHPvIRAFpaWvjYxz7GunXrWLduHQDPPfccTzzxBPfddx+Qaz3Q09PDnDlzpv05JKidpuZyB8+0\nDqFpmnzSL05qNJQEIJnOsqPbx4oZhed5RBM7PBziqb2DLKp2cenMotO+/rWDQ8wOH6LSXMysFWtO\n6JeWzCTZPbqbXSO7SGfTzHbPZp59AZ2v+3E74ziHnwFnJSlLM4mOjRgrXJibm87W4wkhhBBCTMlT\nTz3Fhg0b+NOf/sS9997L3r170TSN3//+98yaNeucj0eWPp6m5nIH/miKgcCZN68T7w9vzqjBsWIb\n7xZDgTgPbDjCdT94lau+v4F/f+Ewn/ntDkZDiVNfTG654+vto/R1dbP35RcoNiRZfsUVx4W0TDbD\nntE9/KbtN2wd2kpVXhW3zb6N1VWrGT0QQ83EqM68AGYH2cbrCTz1MigKeVcskw9BhBBCCHHG1qxZ\nw6OPPorXm/v9a2xsbPw1p9OJy+Xi1VdfBeDXv/41l112Gdlslt7eXi6//HK++93vEggECIfDrF27\nlh/+8IfjBeJ27tx5zp5DZtROU1N5rqDIvv4AFfmT94cSwnM09NQUWNl0xAOc+09i3ioQS/HMvkEe\n2znAG51eNA3mVzr55+ubaC53cMfPNvOvT7fx/VsXTHh9Mh4j4vcRHhvjl3/Zw/b9XdhIkVL11Cy8\nCHdF5fi5WS3LE0eeYDAySLm9nGvLrqXUVkoimuLIjlFCAyPUGd/AaASt+UOEXtpI2p/APKcZQ1nB\nufqWCCGEEOI9qLm5ma9//etcdtll6HQ6Fi5cSG1t7fjrDz744Hgxkfr6en7xi1+QyWS44447CAQC\naJrG5z73OfLz8/nGN77BXXfdRUtLC9lslrq6Op588slz8hwS1E7TnLI8VCVX+XFtc+n5Ho54F/NG\nkqgKXDevjAc2dBBOpLGbzv2PXDiR5h9/v4fnWodJZrLUFdr4/BWN3LSggrpC2/h5f7ekkGf/8hK/\nTx9iXkM5BrOFTDpNKhYl7PeRisfQNNhwaJRt/TEWzq4h7Sjmmd4sn76k5bj33D68ncHIIKurVjPH\nPYd0Kkv33lFGDvahxLyUG9spLFbQmj9K8JXNJDq7MVYvw1RXIrNpQgghhHjH7rzzTu68884JX1uw\nYAFvvPHGCcc3btx4wjGLxcJPfvKTsz6+qZCgdpqsRj31RXb2S0ERcQqecAK3zciqGYX818tH2NLp\nZc3skml/30giTc9YlDllDgAe39XPk3sG+fjyGj60qJKWSieKopDNZAiOjhAcHcE/MsTSxBCtxiTP\nHPRR5zKRSiTQ6fUYzGbyS0qx5rv4xQ4vvwjaufO6Rr5x/RwUReGet73/cGSYbcPbmOmaySxrDYNb\ndjF4YIhMeIwiZ5CKsgjGklqydVcQfP4VUn192C6+hHTQjd5tnvbvjxBCCCHEhUCC2hloLnewpXPs\n1CeK9zVPOEmh3cSiGhdGvcqTewYnDGqpTJaN7R6GAnFuXljxjqtD/nJTF99//hCbvraG4jwzrx7y\nUO40841rZxIe89Czr4ugZ4TwmBctmwUUbPn51LcsYFHhEu574Qj3rLyCEsex0KRpGv/vnw/w010B\nPrFyxnhIe6t0Ns1+7362D2/HphiZ2xVkz58fJZVScbmyVC4rxFK9BFy1pMYChP7wJJlQkLyrrkSx\nlpMO+iSoCSGEEEIcdcqgpijKz4HrgRFN0+YePXY38Clg9Ohp/6Rp2tPTNch3m+ZyB4/vGmAsksRt\nm7hXlBCecIICuxGzQcedy2v471c7WVZXwC1Lq8hkNTZ3evnT7kGe2TeIL5oC4P6X2/k/H2hi9awi\nTPozC2w93ijprMazrcN8dGkVOw90cW2+n21PjKBpWRRFxeZyU9Y4G0dhMXmFhRiMJgDWFoS474Uj\nPL9/mDuW5Zp0a5rGd585yAMbOvj48hq+ecOJDag7A51s7HiGUMxDudHJRWNp+g4bMZdWMWNxPbbS\nMtIeL9HeYdLbXiTZ1YVitpB/880YysuJ7hpBtepRLfLZkRBCCCEETG1G7ZfAj4Bfve349zVNu++s\nj+gC0Hy0oEjrQIBVjadfzly8P3jDSaqr8wH46jWzaRsM8fXH9rK928eLB0cYDSWwGnVcOaeEG+aX\nYzaofOtP+/n0r7dj1KksqMrn326ZT5XbiqZpBEaGUXU6bPkudPrJf3QHg7mKpE/vGaRGDVHlbaWh\ntpaK2c04iorJKyhApzdMeO2MYjs1BdbxoKZpGvc9d5Afv3KEj11czbduPNaAOplJ0hPs4cDIbnp6\nNuCOBbnBUk5FTEfbUB0ZawXl9hSpTa/jHfPB0WpJOqcD08yZ2JYvR7Va0bIaaV8CQ6n1bH77hRBC\nCCEuaKcMapqmbVAUpXb6h3LhaC7P7f1pHQhKUBOT8oQTFNpzM1V6ncqPbl/Izfdv4rFd/ayZXcz1\nLeWsmV2MxXhs5uzpz63ipYMj7Ojx8dvNPXz+oR385KYaBtr2EvH7AFAUFavTic1VQJ67AJvLjdXp\nRFVz9xnx+KmM9RHc3caGYR0xnYVrPryOIpfjlGNWFIWr5pTwq9e7CSfS/OK1Q9z/6i4+sNjBumVx\nXup9iVAyRDAZJJwIoYUGMAf6WGYspGX2x9DUErr3juLpDlBuPoiWUdCXlGKaMQNDSQn64mJUy/HV\nUjP+BFo6K8sehRBCCCHe4p2sM/qsoigfB7YBX9I0zXeWxvSul281UpFvYV+/FBQRE4sm00STGQrs\nx5bG5luNPPW5lWga2Cap/mjUq6xtLmVtcykzbWl++vCz/Dq8g5nVJexKlbC2pYJiXYKIb4yx/l5G\nOtsBMNsdzFq+ElWvx9m7gzk2lYMhlWe8Nopmzz5lSNM0jeHoMG3eNkzuHrS8du78/Q72DYwwv8HG\nvMoidh45iC2dJS+VpjKVIi8coCSSwGWcRcZQg/eFDob8fYzFLLhKLFRdewWm+rpTVnFM9odRDCr6\nQml3IYQQQoiz49577+W3v/0tOp0OVVX5yU9+wle/+lU6Ojro7u4e//1k3bp1vPDCC4TD4fFr//3f\n/51//Md/ZHh4GKfTeb4e4YyD2n8B3wa0o1//DfjkRCcqivK3wN8CVFdXn+Hbvfs0lzvYPxA838MQ\n71LecBJgfEbtTVbj1H7k+g60Uja8hyWlZtYP2Rgds6IpCbaGxnjs71egKAqaphGPhAl5Runeu4u9\nLz5HGoVUKk3jpdexa3+QPk+ED846VsAkk80QTAbxJ/wEEgH8CX/uT9xPPBrE5o8zL2ZiVZ8XU1uS\nz6pJriwNYT3QhzGdREdu+SKKCkYbOCqJ2ewk7CoDukYyFXnUzyunan4pqk495XNmkxnSI1GMlXaU\nKZwvhBBCCHEqr7/+Ok8++SQ7duzAZDLh8XhIJnO/m+Xn5/Paa6+xcuVK/H4/g4ODJ1z/0EMPsXTp\nUv7whz/w13/91+d6+OPOKKhpmjb85j8rivLfwKRd3zRNewB4AGDJkiXambzfu1FzuZPn24aJJNKT\nzo6I9y9PONfsutB+esVmNE2jt3UvfW17Kayq4UvXfpDI0wdpqXCS0eDbT+7nuf3DrG0uRVEULPY8\nLPY88ktKOfTGa/QNe2nLm8Wd5SVcq1q5/+V2GksCPLvxQSJBD7FwACWZQpdIo6bSmNIKjqyB0owe\nZ1KHS9GhS/vRFD1eNcDauXnY3E4URzFKXiHYi1AcJSg2N4rRiGK14vXB0AE/RqOOhkXF5J3GEsbU\nQBgtq2GozDut75MQQgghxGQGBwcpLCzEZMp9YF5YWDj+2m233cb69etZuXIlf/jDH/jgBz9Ia2vr\n+OtHjhwhHA5z//33c++99154QU1RlDJN096MnzcD+87ekC4MzeUONA3aBoMsqXWf7+GIaeSPHv0E\nxjr10OWZZEbtVAYOttHXtpfi2gYaFl+Eoqp875YFAKQzWX6zuZv7nj3IlXNK0KnHlhQaLVaaV1/J\n2KERYru2oDN4udh6GKv1ZdTfhdArBsoNdsx6c+6PyYTVaMRoAkVJopBEr4TQ5xnQ51tZq7eTNc1E\nX7sCyuaDemwfnZbViIVThMbiDO8KEA+ncBZZqF9UjME49UqVmqaR7Aujd5nR2SYubiKEEEKIC9zh\nFyA8fOrzToe9BBqvnPTlq6++mn/5l39h5syZXHnlldx6661cdtllAFxxxRV86lOfIpPJsH79eh54\n4AG+/e1vj1+7fv16brvtNlatWsXBgwcZHh6mpGT6++BOZCrl+R8CVgOFiqL0Ad8EViuKsoDc0scu\n4NPTOMZ3peaK3J6frV0+CWrvYelMllt+8jplTgsPfvKiKV/nPTqjVnAaQc3b30v33l0UVtXQsOTi\nE/Z26XUqX756Fn//mx38cWc/H1pUQVpLk86m0Sk6jDojB8f6KTe8SOixCLpogiani/KmJdSWFGLQ\nJVEyYZRMCEXLArkxourBUgaOxVDQCI4y0JlQdQYyGY3IWIJoMDn+Jx5Oks3kJsdt+SYaFhfjLrWh\nqCffi/Z26dEY2Vgac2P+aV0nhBBCCHEydrud7du38+qrr/LSSy9x66238p3vfAcAnU7HypUrWb9+\nPbFYjNra2uOufeihh/jjH/+Iqqp86EMf4tFHH+Uzn/nMeXiKqVV9/OgEh382DWO5oJQ6zFxc5+bf\nXzjEioYC5lfJL5vvRY9s6+PQcJhwPH1a17259LFgCn32NE3DPzRA+5bXsbvdNCxZdkJICyQCvNL3\nCn7VT3VdO995/VUGlEr06rF9XUbVQOfmfaxp72H+qkuourQBe/YISjYE2RiYXeAoActssLjA4s59\nNeXB0fdLpzKExxJEgxFC3jhBbxwtmwtlBpMeq8OAs9aJxWHE6jBiyTOcsljIhM+cyRI/5ENnN6Av\nkrL8QgghxHvWSWa+ppNOp2P16tWsXr2aefPm8eCDD46/dtttt3HzzTdz9913H3fN3r17OXz4MFdd\ndRUAyWSSurq6d29QExNTFIX7P7aIm/7zNT71q2088ZmVlDqlvPh7STSZ5vsvHAJgKBgnmc5i1E+t\n4IUnnCTPpMdsOPlSwODoCD37dhP0jGC2O5i94tITeqT1h/t5tutZNE2j1lHLrQvy+d5zR/B7q7i+\npQq9qiedSZHcsAn1QIJttqXMvnYlatdLkF8F1cshvwZ0k/+4ZzJZhjuDDLb7yaSyAFjyjJTUOXAU\nWrA6jBjNZ++vi0RXkGwsjW1xyWnPxAkhhBBCnMzBgwdRVZXGxkYAdu3aRU1NDfv25XZrrVq1iq99\n7Wt89KPHz0c99NBD3H333Xzta18bP1ZXV0d3dzc1NTXn7gGOkqD2DhTYTfzszqV88P7X+OYT+/jJ\nXy0530MSUzQYiPHPj7fyz9c3UeWeeEbnp692MhpKcNvSKtZv7WUoEKe6YGqzP55wgsK8yZc9hrwe\nelv34B8exGi2UL9wKcX1DeO90N7U7mvn+Z7ncRqdXFd3HfnmfNZUa2zcvZnH3wjxpUtbsBp1hF95\nhfiwwp9LLsbg1HIhrWAGNN98QkDLZjVioSTRQJJI4OiyxkCSbCZLfomV0nonNoLL/yIAACAASURB\nVKcJnWF6qjBmgkmSXUGMZTbpnSaEEEKIsy4cDvPZz34Wv9+PXq9nxowZPPDAA3z4wx8GchMuX/7y\nl0+4bv369Tz99NPHHbv55ptZv349X/3qV8/J2N9Kgto7NKs0j09cUsv9Lx+h2xuhpsB2vockpmBX\nj5/n9w8z4I/x+/+94oSZr2xW48FNXVw5p5gbF5Szfmsvvb7olIOaN5yccNljNBige+8ufAN96I0m\naucvoqS+8YRZNICDYwd5sedFSm2lXFd/HSZdLvgpisJXrpnFB+/fxP88uY2P2vwkDrdjWbSQ9jeG\n+Yj6CrhXwNwPgqojk8ni7QsT8R/ba/bmckZVr2JzGimqycNVYsUxjb3MsskMiY4Aqb4QikGHSfam\nCSGEEGIaLF68mE2bNp1w/OWXX57w/Dd7qHV0dJzw2ve+972zOrbTIUHtLPj48loe2NDBL17r4u4b\nm8/3cMQUhI7uOWsdCPJ/HtvH//fhluP2Wu0fDOKNJPlASxlVrlw46/NFp3x/TzhBQ5H9uGPpZJLW\nV/5CNpOheu58yhpnodNPXO2wI9DBiz0vUm4v57q66zDojp2npdM0xUb4QrKN4d/2EVg9E/fSpVgX\nzmXhC1/DWOaEOTeAqiMSSNCxc5RYKIneqMPqNFJa58TqNGJzmjDZ9Ge0x+x0aFmNZG+IRGcA0lkM\nlXmY6p2op1EhUgghhBDi/UaC2llQ4jBzw/xyHtnWyxeunEmXN4LVqKOxRHpDvVsF4ykAPrGill9u\n6mJRtYvbLz7WkH3D4VEAVs4oIt9qQFWgzxeb8v29kSQX1R0/o9azbzepeJyWK9ZidxdMfm3My1+6\n/0KRtYjr6q/DoOZCWiYcJr5vH/HWVrLRGGtn5HNXxIqx+hL+8aK5JHc8hJKMMFz9USJRHSMHPHh6\nQ+iNOmZeXIqzyDLtoeytNE0jPRojfthHNprGUGjB1JiP7jR7ywkhhBBCvB9JUDtL/mZlHX/Y0c8V\n33sFTzjBrJI8nv3Cped7WGISwXgaRYGvf2AOnZ4Idz/RSlO5gwVHq3duODRKU5mDoqP7zMqclikH\ntXQmiy+aPK6HWmjMw9CRw5TNmHnSkBZPx/lz558xqAauqb3mWEjz+/E9/AhaKoWxthZLyzwKq6po\nenQ3v9jaz6crj8DwEV7MLOH2cD6tr/aj6lQKK+1UznGfVn+zs0HLasT2eUgNR9HZDdgWFqOfxmWV\nQgghhBDvNdNTLeB9qLncyfUtZRTlmVhUnU/3WARN087LWIa3biYVDp2X975QhOIp7EY9Bp3KD25b\nQLHDxN//z3a84QSRRJrt3T5WzTzWxb7SZaF3bGpLHwcDcTSN8WIimqbRuWMbRrOZqrnzJ71O0zRe\n7n2ZcCrMNXXXYDfmlk5q2SzeZ/7CQNCGd961jJQuoXvERPv2EW51mVmX6OKlZw+xL7oUY6IOczRL\nxSwXC66qom5+0TkPaQCJwz5Sw1HMDU5sF5dJSBNCCCGEOE0S1M6iH92+iD9/fhU3zC8nnsrijSTP\n+RjioyP0bDnEvoefJtg7eM7f/0IRjKXJO1puPt9q5Md3LMYTSfK59TvZdMRLKqNxaWPR+PmVLuuU\nZ9Se2TcEwMoZuaDnHx4k7PNSNXc+esPEe9IA9nv30xHoYFnZMkptpUCuqEnXs9tp258iUjyTNEYS\n4RSJ0WESh7dg69rEcleaNzzFPNWWh05TmL28jIqZLvSnaA1wtmVCSVJDEeKHfCR6Qpiq8zDV50v5\nfSGEEEKIMyBLH6dBRX5u9mDAHztu+du5YC4qpunGlRx57lUO/Ollyi5aTMWiRlT5Zfk4oXgKh+VY\naJpb4eSedXP5h9/t4eBQCLNBZXGNa/z1KreF4VCcRDqDSX/yAPT47n7mVzqpK8xVAB042IbRYqWo\npnbSa/rD/Wzs30hVXhXzi3KzbkFPjM6tffje6CS/Ip/ZN8/FHDkMfVtBG4EqC5QvYHbpAn7324Ns\nPOwBE9TXON/Bd+b0ZUJJEkf8pEaPBVlDsRVTo+skVwkhhBBCiJORoDYNKly5oNbvi9FSee5LkNuq\n6mj+SB49zz7N4BtbCI6Gabh0Hmbb5LM57zfBeGp8Ru1NtyypYmePn4e29LB6VtFxJfsrXVY0DQb8\n8fEANpH2kTD7+oN84/omILc3LTAyRE3LohN6pAGMRkfZPLSZnmAPdoOdK6qvAKDvoI/+Qz60znaq\n3RFqbl2Dbv8vIeYHWyHMuhZKmkFnQA/86PaF3PSfrxFJpLFM41JHLauhJTJkY2mykRSpoQhpfwLF\noGJuzEdfaEEx6FCM6jktXCKEEEII8V4jQW0avDmj1u+fepXAsynZ1YWhspK6mz6Ec8NjdB7ay75A\nlNqV8ymslEqUkCvPX+o4sdny3Tc2EU9luGF+2XHHK4+G7z5flLbBIA9u6uKiOjcrZxSysNqFUZ9b\nRfzErn5UBW5oyV0/cLANncFISf2M4+43Fh9jy9AWOvwdmHQmlpcvZ27hXFRNR/v2EXyDEVzGKE6O\nkHfpJehGd0I8APM+nGtk/bYQlG818sinlzMYiL/j742maaBBNpoiPRYnG0qSjWXIxtNo8TRv3Xqp\nsxswN+ZjrLCjnOOllkIIIYQQE/nCF75ATU0Nd911FwBr166lqqqKn/70pwB86UtfoqKigi996Ut8\n/etf55577gHA4/FQVlbGpz/9aX70ox+N32/BggXMnj2b9evXn9PnkKA2DZwWAzaj7rTKuZ8tGb+f\nwJNPoS8pxnHttbgvvwWb6wk6drXR8Zc40cULqJ5beOobvccF4ykai+0nHDfpdXz/1gUnHK9y53qp\ndYxG+PErRwgn0mztGuOHL7ZjM+q4uL6AlTMK+eOuflY0FFLsMJNKxPH29VI+a8743rRgMsjWwa0c\n8h1Cr+pZWrqUlqIWTDoT6VSGg1uGCPsSVM1yYnx9I0qhG0t9Gex8DsoXQmHjpM9U4jBTMkH4fCst\nq6ElM2jJDNlEBi2Zzc2QJTNkoymykRRaInNcGFNNOlSLHn2+CcVsQ7XoUc25Y4pl+vuwCSGEEEKc\njksuuYRHHnmEu+66i2w2i8fjIRgMjr++adMmvv/971NXV8dTTz01HtQeffRRmpuP74nc1tZGJpPh\n1VdfJRKJYLNNvrLqbJOgNg0URaHCZWHgFDNqiXSGbz+5n7+7rIHKo02V3yldfj6Oa68h9PwL+B9+\nBMc1azEtvJnZeS/SteUwQ9uyuCsuxe46+S/073WhePq4PWqnUpJnQq8qPLChg8FAnF998iLmV+Xz\n+hEvG9tH2XjYw4sHRgD43JpcmPINDgAahZW5/mypTIrH2x8nmooyv2g+C0sWYtHnZuri4RTtO0aI\nhZI0LCrCMniQSDCIc91NKJ0vgt4ItaumPF5N08iGkqQ9MTLhFNlo6mggy054vmJQc2HMZUYx61B0\nKopJh95lRrXIXxNCCCGEODMb+zfiiXnO6j0LLYWsrFg56esrVqzgC1/4AgCtra3MnTuXwcFBfD4f\nVquVtrY23G43VquVOXPmsG3bNpYsWcLDDz/MLbfcwsDAwPi9HnroIf7qr/6KtrY2Hn/8cW6//faz\n+iwnI7+BTZOKfMsplz7u7QvwP2/04LYa+eLVs87ae5saGtC5XASfehr/Y49hv/RSzHOvoDqdwb9h\ngO5dAzStrnvfzoRomkYonj5hj9rJ6HUqZflmesdiLKjKZ1VjIYqicM3cUq6Zm6vQ2DsW5cBQiDWz\ni4FcUDOaLdhcbgC2Dm0llAxx84ybKbOXkU5mGOkO4ukLEx6Lo+pUGpeU4MiDsT9tx1hXh9GSAF83\nNF4NxqmF+dRolES7n0w4haKAYtGjsxlQnCYUow7VpDv21aTL7SnTvT//WxBCCCHEe095eTl6vZ6e\nnh42bdrE8uXL6e/v5/XXX8fpdDJv3jyMRiMAt912G+vXr6ekpASdTkd5eflxQe3hhx/m+eef58CB\nA/zwhz+UoPZeUOGysLPXf9JzDg7nep1tOuLli2f5/fVuN/m3fITQc88TfvkV0iMj2JcupKr4AB19\nPXh6iyiqfn/uV4smM2SyGnnm0yuuUuWy0jsW4/NXNE4Ycqvc1vElktlsBv/QAIXVNSiKgifmYbdn\nN3NcczCHHRw+MIx/OIqW1bDkGama46ag0o7RrCe8YQNaOoVt2cXQ8UewuqH8xOWYb6dpGsnOIPEj\nfnR2A5Y5bgwlVtk7JoQQQojz5mQzX9NpxYoVbNq0iU2bNvHFL36R/v5+Nm3ahNPp5JJLLhk/75pr\nruEb3/gGJSUl3HrrrcfdY9u2bRQWFlJdXU1FRQWf/OQnGRsbw+12n5NnkKA2TSryrfijKSKJNDbT\nxN/mw8NhAHb1+k963plSTSYc13+A6OYtRLduJe31kl+Zj/1wL31ttbjLbej0779WeqF4GgDHaQa1\n1bOKsBr1rJ5VdMpzg6OjZNIpXGUVaJrGK72vYMKMq7OOw6Fh9CYdxf9/e3ceH3V1N3r8c2bLbNkm\n+54QCDskLAKyiLhbretTUWu1trbe1muXp6+2tr19bL0+T+9T+9T2tk9vbe1qG1xb1CoWRQqIUAgC\nCSRsIZCE7NvMZJbM8rt/zBAIBAghIRP4vl+vec3M+Z3fb85vfj90vjnnfE9hAqm5dqwJpv7AL9Td\njbeyEvO0aRiCzdDbDtNvh2jGSE3T0AJhNF+IsD8YefYFCXuChFx9hL1BjJk2LNMcKP3ld22FEEII\nISAyT23z5s1UVlYyY8YM8vLy+NGPfkRCQgKf/vSn++uZTCbmzp3Lj370I/bu3cvrr7/ev628vJya\nmhoKCwsBcDqdvPrqqzzyyCMX5RwkUBsl2UmROWCN3V5KMgbvudrf4sKk19EXCrOtrpPlk9NHvB1K\nKWwLF2BIT8O19l1cTj+5mX5qulppOZxE9qSLv3zAWHP6AgDnNfQR4HPLivncsqHV7WpqRKfTk5ie\nyaHuQzS7W5jWuZCAX2NCWRqObPuga9v1btuG0uuxzZsHVX+E+AxIm4IWCOPZ1Uqopw8trA3YR+kU\nOrMefYKJuKJEjNm2y3ZYqxBCCCEERHrUnnnmGSZMmIBer8fhcNDd3c2ePXv41a9+hdvt7q/7r//6\nr1x11VUDesrC4TAvvfQSlZWVZGdnA/D+++/z1FNPSaA23h1P536uQO2GGZm8U9XM5kMdoxKoHRc3\nYQLasqW41r6LLegnSd9A06F00gviMYziuluxyBUN1M4nmcj50DSNrmMNJGZkgk6xpWkr8Y1ZWEmk\nqCz1jEskBLu68O/bj6W0FF3r9kg6/sk3ogHe6g5C3X5MefEoiwGd2RCZY2Y2yJplQgghhBCnmDlz\nJu3t7QPmlM2cORO3201qauqAQG369OmnZXvcuHEjOTk5/UEawLJly9i7dy9NTU1kZQ1cymk0SKA2\nSnKSInOVGs+Qor/D7afd3cfs3ERanT42HxrZbDiDiSspoXfLVjytXnLzDlHlnULToR7ypl6ccbax\nwhkd+ni+PWpD1XmsAV+vm5wp09nbsZeeBj+T/NPIm+046zp2nu3bUQY91sJkOPh6ZF6aYwKBRjeB\nFg/mSUnEFSaOSpuFEEIIIS4ler1+QEp+gN/97nf9rwsLC6mqqjptv4ceeoiHHnoIgC1btpx2zObm\n5hFv65nIJJZRkh4fh1Gvzpj5cX90flpJRjxXFqey55iTbk/fqLZJ6fVYSmcT6NVh9DlJsbTRcrgH\nj3N0PzfWOL3RHrXznKM2FAG/j9od27AlJZOUn8u2wzuIb8kkPzeTrIlnHmZ6vDfNPGUSuqPvgcUB\nxdcQ9gTw7evE4DBjKkgY8fYKIYQQQojYJIHaKNHpFFmJljP2qB1ojWR8LMmIZ/HEFDQNttR2jnq7\nzNOno2yJeJs08mzV6I06Dla0EAoMvr7WpehEMpGR7VHTNI3DOysI+v1MnL+IQ121ePcbyU/Kpbgs\n/YzDE/0HD9L9yisoowGrtRkCXph2G5reiG9fFyiwTE+R4Y1CCCGEEJcRCdRG0dnWUtvf4iLBbCAj\nIY5ZuUmYjTq2Hu4Y9TbpTCYss2bid+rQdTdRPDGI3xPk8O52NE079wEuASeSiYxMj1rA7+PY/hp2\n/f0t2o/WkTt1OtbEJD7aW4MlEM+secUY406fBxju68P17rs4316DPiGRpCWT0fUehQlXQ3wGwTYv\ngXYvcROS0I3SME0hhBBCCBGbJFAbRTnJFvY1u1j1z6N4+oIDtu1vdlOSEY9SCpNBx6zcJHYcPfu6\nawCrdzbymd9tu6CgyjJrFio+He/hThL8NeROTqbzmJumQz3DPuZ44vIFMeoVZuPwb38tHKar+Rj7\nPtzE9jf/Qt2uCnQGPcVzF5A7dQbHnE101/WRn51FcubpC1UHjh2ju7wcX80+rHPnkLRsOob2bZBS\nDLnz0IJhfPu60NuNmPIuz/XuhBBCCCEuZ/Jn+lH00JWFVDb08M3XKnn6b9XcMSeH+xcUUJJhZ3+r\ni5tnnsgWM7cgmV9vrMUXCGE+wwLF+5pdfP2V3fiDYZy+IIlnyFqoadpZh8nprFbips/A94+DWI/s\nInP5VfT22Gmo6cIabyIp4/TA4lLi9AaINxuHPZSwq/kYtRX/xO/pxWCKI7O4hIyiYqyJJ+agbaus\nQh80Mqds8oDP0UIhPP/8J56KHeitJpIW5GEM7IAaF1iSYcrH0MIanl1taP4glpkZqEHS+AshhBBC\niEub9KiNohk5iaz58lJeeXQR107LYNW2em54dgN3/Pdmuj0BStLt/XXn5CcTCGlUNg7eq+XpC/LY\nn3fgD0bmknX1Dp4AJBAK8NqB1zjQdeCsbbOWlUFCLt5DzagjmykqTcWaYOJgRSv7tjZzpKqDlsNO\neto8+D2BS2pYpMsXHPb8tIDPx4Gtm9EZDJQsXMK8W+6gqHTugCDtWEczxw52kZudjiN9YG+Y8+01\neDa+i9naRVJeG0b3HrClwoy74IrPoemteHa3E+ryYZ6eiiG6Hp8QQgghhBiajo4OSktLKS0tJTMz\nk5ycnP73SilKS0uZMWMGt956K93dkRFtdXV1zJgxA4D169ejlOLXv/51/zF37tyJUopnnnmmvywY\nDJKWlsY3v/nNUTkPCdRGmVKKeYUOfnxPKVueuIZv3zy1P7vj7LwTP+7n5Ede7zjSNehxnnx9Dwfb\n3Hx2SREAnWfIENkX7kMpxdoja1l3dB2BUGDQevrEROKmzcLXaSR8+J/o/d2UzM/AkWUj2Beird7F\nkap29m1pZtd79VS8XUfl+gYObG+hvqaTtnoXrk4fgb7QsL+bseLyBYY9P+3wzu2EggEmL1xCal4B\nOv3A3s+ezl7WvL0Fg87AogWzBmwLtrbSt+UNrAntxJfY0RUtgAWfh9krIa0EDYW3qo1guxfz1BRM\nWbZhn6MQQgghxOUqJSWFnTt3snPnTh599FG+8pWv9L+32Wzs3LmTqqoqHA4HP//5zwc9xowZM3jp\npZf635eXlzN79uwBddauXUtJSQkvv/zyqHRqyNDHi8hhM/HIsgl8ZkkRTU4fOUmW/m0p9jgKU6xU\nDBKord7ZyEvbG/ji1cVcPy2TX286TKd78EDNZrRx+8Tb2da8jR0tO2jqbeL6gutJs6adVtd6xXz8\nNXvwHKzDnvM+phl3MaEsUk/TNAL+ED53AF/viYfXFaC7xYMWPnEzGkx6zDZj5GE3EGczYrGbiLMZ\n0Otj728BTl+QBMv53/odjfW01x8hf/rs/h40LazhcfXh6vDh6vSx40AVvpCPG65fSIpj4Jpn3ndf\nQvX1YFnxKBQvBv2JNmhhDe+edgKtXsyTkzHl2BFCCCGEEKNn0aJF7N69e9BtBQUFOJ1OWlpaSE9P\nZ82aNdx8880D6pSXl/OlL32JX/ziF3z44YdceeWVI9o+CdTGgE6nBgRpx80pSGbD/vYBc8wOt/fy\nrdcqmVeQzFeuLaGpxwecuUcNQKd0LMhaQG58Lu8eeZdXD7zKwqyFzE6bPWC+lCE5GfOsUrybm7HU\nVaLPXwQJkdXXlVKYzAZMZgMJqQPbqoU1/N7giSAu+uzs8NLeMDBpisliwBJvIndKMrbEuOF9YSPM\n5QuQZj+/QMjv8XBo+1ZsScmkFkyicX8X7k4fri4//j4/7d4O2sMt+CwuyhZOpjircMD+4aaD+D7a\njGXmbHSTloFSaGGNUKePQJuHYJuXsD8UWdQ6X9ZLE0IIIcSlwb1xI8G29hE9piEtFfvSpRd0jFAo\nxHvvvcdnPvOZM9a5++67efnllykrK2POnDnExZ34Levz+Xj33Xf55S9/SXd3N+Xl5RKoXcrm5Cfz\n2o5GGrq85Dms+IMhHvvzDowGHT+9twyDXofDZgLOPEftZDn2HO6ZfA/r69ez+dhm6l31XJN/DVbj\niWQhtiuuwF+9l96DNSTkbYTZ95zzuEqn+nvQThUKhvt73/y9AXzuID1tXqo/aKJodiopMdBT5PQG\niT+POWpaOMyBrR+ghcPkTJ1P9QctBPxBfKZe2ozHaI1rJJzVR3ZyBtNSFlCSXDLwAEE/3jW/BZ2R\nuOsfJNDqIdDqIdjuQwuGUQaFIcWCOdOGMf3STuQihBBCCDGWvF4vpaWlNDY2MnXqVK677roz1v3E\nJz7BPffcQ01NDffeey+bN2/u3/bmm29y9dVXY7FYuOuuu3jqqad49tln0esHTwo4HBKoxZC5BckA\nVBzpIs9h5T/eqmHPMSe/+tQ8sqM9cFaTHpNBR+cQAjUAs8HMDYU3sLdjL5saN/H6odf5l5J/Qa+L\n3EQ6mw3L3Pl41h4lcGA3xsLFkJg77HPQG3TYEuMG9J71+YIcrGjl0I5Wuls95E5xEDeMoYcjxeUL\nkHCGjJmDaajZg7O9lfQJpdRV9uIOOTmaVYXb0I3ZYGZW8mSmpkzFYXYMur9WvQbf/iMYy27AfyhM\nyNOOzqTHmGHFkGbB4LCg9JLZUQghhBCXngvt+RppFouFnTt34vF4uOGGG/j5z3/O448/PmjdzMxM\njEYja9eu5Sc/+cmAQK28vJxNmzZRWFgIRBKYrFu37qyB3/mSQC2GlGTEk2w18t3VVayraeX1Xcf4\n9OJCrpuW0V9HKYXDahpyoHZ8n+mp07EYLaw5vIbK9kpK00v7t1vnlOHbU4mregvJE/6BKl0JupH7\na4DJbGDKoiwa93fRUttDV1MvOZMdZE5IGHaK/OEKhsL09oWG3KOmaRpNB/cTDifSecyCzh7kQMI2\n7DYr12VcR1FiEQbdWY7VWo2vYiMhcxaG5HmEfSGspWkYUiySdl8IIYQQYoxYrVZ++tOfcvvtt/OF\nL3zhjPW+//3v09raOqCnzOl0snHjRurr6/uHQ/72t7+lvLxcArVLlV6n+ONnFvDLDbW8XdXErNxE\nvnnTlNPqOWznF6gdV5RQRH5CPttbtjMpeRI2YySroDIasS+/GuefD+D9qAKrsx7iEiLrep32SAL9\n+WdM1OkUeVMcpBckcLSqg/q9Hbg7fRTNTsVgGrmg8Fzc/sgcuoQhZn10dbTTUtuO3TGd7Cl2KuI2\noAIaNxfdTGJc4tl39vWg1byF51gfKm0F6KxYZqViTJPhjUIIIYQQY62srIxZs2ZRXl7O0jP0/A02\n7+wvf/kLK1asGDBn7bbbbuPrX/86fr9/QPmFUBdzfax58+Zp27dvv2ifN551e/qIM+ixDBLEfPLX\nW+ntC/KXLyw+7+P2+HsorylnYtJEri24tr9c0zScb7xB4MAuTOnx6OPC6E0hDMY+9CYNZTipHXHx\nJ4K2UwM5w7lvTE3TaDnspL66E7PNyOSFmZiGua7Z+arv9LD0P9/nh3fP4l/m5Z2zftU/tlK9aTsL\n7vwX6hMOsKttF9cXXM/E5Iln3zEchl1/xn9gH12HCjAWlRG/pARTbvzZ9xNCCCGEGOeqq6uZOnXq\nWDcjJgz2XSilKjRNm3eufaVHLUYlWU1n3JZsM9HQ5RnWcRPjEilLL6OipYIZqTPItGUCkeGR9uXL\ncev0BDva8be6QdMAC4QD6OL06C0GDBaFPk5Db+pAbziGTh8YOHzRZD0RtJmjgZwtDezpEK2nlCJz\nQiKWeBMHtrVQ82Ezk+alY7YZR304YI83sq7cUOaohYJh6nYdICE1HU9aJ7sadjEjdca5gzSAox9C\ndz2u9mIwJGObWyRBmhBCCCGEGDIJ1MahFJuJjmEMfTyuLL2M6o5qNh/bzB0T7+gPtPQJCSTe8jEA\ntECAUE8Poa4uQt3dBKPPvq5utL4+ImulW1A6K3qrEb3NgD4O9GYNvd+D3t2NLuyJBntAwZUw4aoB\n7UhMs1ByRQb7t7VQub4BpYssCRBnNWCyRJ6tCSaSMqwjNpfN5YsMfRzKHLW63Y14nd1kLp/FPxr/\nQbY9m8XZQ+jFbNkDdZvw9hUQ6DJimZVJ3MTkC226EEIIIYS4jEigNg4lW024fEECoTDGYSwobdKb\nmJ81n3/U/4PanlqKk4pPq6OMRgypqRhSUweUa5qG5vEQ7Oom1N09IJDztzpPBGbo0FnT0FuNGLQ2\nrH0b0BniIH/hgOMlpFqYsSwHV4cPnydAnyeI3xtJ6R+IBlWJ6VaKZqeOyPBIly/ao3aOOWpeVx91\nuw9iTTSxz1qLxWDh+oLr+7NlDkrToHEHHFyLZs/DXeNAxbmJv3b2RU+aIoQQQgghxjcJ1MYhR3T9\nsi5PH+nx5mEdY6pjKlVtVWw+tplsezYWw+kLcA9GKYWy2TDZbJCbM2CbFgwScjr7g7fjz97mOMLu\nXuKN61BaGPIX9Q+DBM64Jls4FKb1qIuG6i4q1zdQMCOVlBzbBQU9Tt+5k4lomsaRqg78vW3oMw30\n6Dxcm33tgPXnBvB2RXrRWvaApxNSJ+FxlxLs+Aj74nz0luFdIyGEEEIIcfk6Z6CmlPoNcAvQqmna\njFO2/SvwDJCmadrILjkuzshhiyTs6OwdfqCmUzquyruK1QdX8/bht7m12Uje0wAAIABJREFU+FaM\nuvPP5ngyZTBgcDgwOAauJ+bZsYPeTZsweQyYa/8RCWYm33TOJQB0eh2ZRYkkpVmp3dVG7UetdDXb\nmFCWhn4YPYkA1U1OTAYd6QlnTnrSeayX7hYnxjgPTVYniXFpTEw6ZV5anwfaqiPBWU9jpCwpn3D6\nFfic2fTurEJn7cO2qPT0DxBCCCGEEOIchvJr93fAjacWKqXygOuBoyPcJnEOydHep+Gk6D9Zpi2T\nawuupaW3hXePvEtYC49E805jKSvDmJePu0FHMHk2NFdC1asQCg5pf7PdyNRFWeROddDV1Mux/d3D\nbssHB9uZV5CM2Xh6kBjsC9G4v4u6ynbASSDOg9Meoiy9DJ2K/lPRNDi8ATb/X7SatQSdIfpsV+FN\nvh933wrctSn4j3ai9dZjWzAB3QilZxVCCCGEEJeXcwZqmqZtADoH2fRj4OvAxcvvL4DIOmpw4YEa\nQHFSMYtzFnO45zBrj6wdlWBNKUX8ddeiDAaclZ2EC1dAxyHY85chB2tKp8iemERqXjzNtT343IHz\nbkeH209Ns4vFEwfOu+vzBamv7mTXunoa93URn2Im3uGlJdBGfEoqk5MnRyqGw4T3vI2vogp3Ryku\n/8fpDazA25NDsEehDDqM+fHgqcaQHMI6d855t1EIIYQQQggYWo/aaZRStwGNmqbtGuH2iCE4Hqh1\njUCgBjArbRZXZl/Joe5DvFP3DrU9tbR52vAGvYzUOnt6u52Em24i5HLi3NWEVnwddByE3avA5xzy\ncXKnJKPTK47s6Tjvtn1Y2wHAouIUAPyeAHWV7exeV0/ToR6S0q3MuCqXSXPTaWo+iNsWoiwj0psW\nbO/B+84buLd00KfNQBWVYpqcjbU0jfilOdiX5WKbm4HS2gi2HsO6YKH0pgkhhBBCjBG9Xk9paWn/\n4wc/+AEAy5cvJz8/f8DvyNtvvx273T5g/2effRaz2UxPT89FbffJzjuZiFLKCnyLyLDHodT/HPA5\ngPz8/PP9ODGIZOvxHrXz71U6k9L0yFyqD499yOGew/3lRp0Ru8mO3Wgn3hTf/xxvisdusmMz2M6e\nCfEkxpwc7MuX896vXqa4T8eUpbegDrwD238TyQZpTTmx/pp+8FvTZDaQU5LM0T0dtNe7Scsf+tpk\nHxzsID7OwKycRFydPmo+bAIgNddOVnESZntkSKmzrZX6riNYSlKY4piCd2stgeqdqLAXY8lkTHNK\n0dtPX+cu1N1N7webMaSlYZ4mizwKIYQQQowVi8XCzp07B92WlJTEBx98wJIlS+ju7qapqem0OuXl\n5cyfP5/XXnuNT3/606Pd3EENJ+tjMVAE7Ipm38sFdiilrtA0rfnUypqmPQc8BzBv3jwZJjkCjHod\n8WYDnb1+wmGNrYc7WTjBccEp4EvTS5nsmIyrz4W7z40r4Brwur2nHW/QO2AfhcJqtJJgShgQ0J0c\n1Jn0J4Ka94JJ/D9XMnf+fQu5Div2BQ+i9r0Jh94f2Ji4eA65jbzXqOezn/wUOuOJY2QUJtDd6qGu\nsh2TxUBi2tAyVn54qJ0FExzodYqGmk4MJj3TlmQTZxn4z6D2cBXOgJPFkz4GR3sI7N1BXIqLuCXX\noVLyTjtusKsLz/bt+PftRxn02G+8AaUbXrITIYQQQohLyZE9HXh6RmYU2HHWRBMF01OGvf/KlStZ\ntWoVS5Ys4bXXXuPOO+9kz549/dsPHTqE2+3mv//7v3n66afHT6CmaVolkH78vVKqDpgnWR8vrhSb\niU5PgNd3HePLL+7kpc8v4ooiB/5giLt+sZkvLp/ITTOzzvu4FoMFi8FCujV90O2BcAB3n7s/eHP3\nuXH1uXAFXLT0tnAocOi0eW5mg5npKdOZmjyTH76zjyOpxRg6FNfsqkILBolfcT+KIPi6I6nuvV0E\n3B28sn4rpt5mjm0Mk7v0ATBGAjKlU0ycm07N5iYOVrSQN9VBQqpl0BT/xzV2e6nr8PCpRYU42324\nOnwUzEg9LUgLBPqo3LcVoyOBGQnT8f1tAwazi7irb0IlDPw+g52deLZtx3/gAMqgx1JairWsFJ3N\ndt7fuxBCCCGEGDler5fS0hPZt5944gnuueceAK655hoeeeQRQqEQq1at4rnnnuOpp57qr7tq1SpW\nrlzJ0qVL2bdvHy0tLWRkZFz0cxhKev5yYDmQqpRqAP5N07TnR7th4uySbSa6evv4685Iaviqxh6u\nKHKwr9lFVaOT772xl6unpA/Ibhhy+kGvQ2c1DLv3zagzkmxOJtmcPOj2sBbGG/RGgrc+F+6Am5be\nFipaKvhdxQYa+0J89poyfv1+DlscJlYcPESox0n89dehT8pCJWQD8NsNh/iF08Ak1cCVRw+Ru+OP\nMONOsEUSgRiMekquyGTf1mbqdkf+RhBnM5KYZiEh1UJCqhnDSee++WCkzqJiB437uzBZDKTlDxyL\n3NBTz9p3XsDZ3crcJTcR/LAKPO1Yrpo2IEgLOZ30bv4Q/8GDKIMBS1kp1rIydNYzrLMmhBBCCHGZ\nupCerwtxtqGPer2eJUuWsGrVKrxeL4WFhQO2l5eX85e//AWdTsddd93Fyy+/zGOPPXYRWj3QOQM1\nTdPuPcf2whFrjRgyh9VEdZOTFpcfgH3NLiCyThhAs9PH85sO88WrT6z/5dvXRbDbj85swJhhJa44\nCaW/sOGSp9IpHTajDZvRRqYts7+8vqeF5959gaJML8mpB8kvbORnvWksvXoJauMOul74Ezq7HWNW\nJp7EFF548zArJufT7E7gBU86CwJHoOK3UHwNZJeBUpgsBmZclYOvN0BPmxdnm5f2BjetdU6UTpGY\nZiF3igNrgonKxh6SjQZsXUGaO30UzExFF12LzRPwsLlhM3s/XI+xq48lS25jck8q4frdWEos6IoX\n9J9H2OejZ/XrhHt7sc6dg6W0FJ1laEMvhRBCCCFEbFi5ciV33HEHTz755IDyyspKDhw4wHXXXQdA\nX18fRUVFsRmoidjksJk41uMDICvRTE3L8UDNhdWkZ9GEFH6x/hAr5+eRYo9kHzRPSyHU5SPY4cV/\nxEmw24d1Vho68+jfBi1dRrrbp/B/bpzDFRPNdHWt5w8Vm/llxyauXT6ViS4r4aZWvPWH2fD6+1zV\n5OITqUVU+K38ostB7ycfxHb4Hdj/DvS5oWgZEEn9b7GbsNhNZBYlEg5ruLt89LR6aT3ipGpDI/EO\nM+49XSxXZpoP9ZCcZSMtz05YC1PVXsXWpq349zaQ505h7syrcTithGt3YCkMYFx0B0R7H7VQCOfb\nawi5nCTdfjvG7OxR/96EEEIIIcTIW7p0KU888QT33juwT6q8vJwnn3ySJ554or+sqKiII0eOUFBQ\ncFHbKIHaOHU8Rf+UzHgWTkjhpe31hMMa1U1OJmfG88TNU7j+xxv4v+sO8uTHpwOgtxnR24yYcuMJ\ntHrw7unAtbERdApXMESi3YQy6CK9bHodSgfoou91apBnXf97pTtp2/H3ehVJqqGD/Q09JKCYnmAh\nvjeOL05cwZZ1JsJ1bmpVIwd1YZQDuuI0/t6imDfRQa3VS0JdPXe39LL+dx0suGYFyY549HUfgMEM\neVec9r3odIqEFAsJKRYyixM5dqCb3i4/jW4/JfmJzLo6D7PdiCfg4a3qv+Fpc1JwNI607tmkJaUQ\nf6wTApVYcrwYF3+if16cFgzievc9Ag0NxF93rQRpQgghhBAx7NQ5ajfeeGN/in6I/LH/a1/72mn7\nrVq1irfeemtA2R133MGqVav4xje+MXoNHoQEauNUcjRQ+3hpNg6rCU9fiPouD9VNTm6Znc3E9Hju\nmZ/PC1uO8NCVhRSmDkxwYUy3orMZCbZ4eH9PM3/8oI6iJCvLJjiYk5eEOayhhTS0sAanPg+Dtaad\n+/Rm4vd104tCB9yX7ODYQSs3pM7GF/KiofFedSvL+3L4+LRsTAaF1+GlK7ibuMNejrywlsY4C+lp\nDlK63sEUDkXS+p9hvp3RpKdgegpOX4Ctb/q5eqqjPwX/3t0fkVStmOrJJNzdQWJiK+lJDRhsQXRZ\nE6DwJrAkARDu7aXnrbcINrdgW3wl5ilThvUdCCGEEEKIiyMUCg1avn79+kHL3W43ALW1tadt+6//\n+q8Ra9f5kEBtnJqUbsdq0nNbaQ6tzsgQyPdrWnH6gkzNSgDgK9dOYvXORn749338/L45/fv+akMt\ne4718OzKMvQTEnljyyH2WhVdFnhhRx2WSj23lWZz/4ICZuYmDvhcLaxBWDvxHDrpORQevFzT2LS3\nEX96HNbSdJRRh9LriE/U8YfXKrk6L4nZ2QVsru3gVx808/g10yi5Ir8/AHuuy8S7XW18e45GS2Ul\nNMWjNTowfrQWU/EeDNOvRJ+YgM5uQR9vQ2c2RnsEI/sfao38wytOs6OFNHoPteOqasDgPIK7t5mM\nLCN5s2ajMmdA2mQwRIaKapqGb+9ePB9+iBYMknDzTcQVF4/uhRVCCCGEEAIJ1Mata6ZmsON/XYfZ\nqCfJEukl+svOYwBMzYwsAp2eYOaRpRP4yXsH+OySLsryk+kLhvnFPw7R2dvHtz82jVS7iW2HO1lW\nksZPVpaxu6GbP289yuqdx1i1rZ5ZuYncvyCfW2dnYzUZTgxxPI+2aprG37tc3DI7G2PaicyIy2dl\n4nu9ijfrOpg1LZ0nNxzElmblEyuK0etPrENWOj2d77/ZzrNNGdx4XQ51PZsoPZpCXqMNz54O2Lsm\nMhTSYIkMVTTGoYxGdBYT+ngrPneYB4Iakw67cTb6aO05QodnFwneLvLKFlNw1cdR5oTICvXBIOGe\nHvy1tfhragi2d2DMzsa+/CoMKWOTtUgIIYQQQlx+JFAbx46n3rfFGch3WNlV3w3AlGiPGsAjyybw\np61H+Y+3anjx8wtZV9NCZ29k0cEPDrYzJz+ZVpefeYUOAGblJjErN4lvfWwqf/2okT9tOco3Xq3k\nf79ZzZ1zcrhvQQGTo4HgUDU7fTh9Qaacsl+82ciySWmsqWomL9lKbVsvzz84D6N+4GLR9y/Mp7O3\nj1XbjvJudR9P3zuNrdP3E1oxj7K+BEKH9xBuPkzY2Uq4TyNMAmGDg1AwjkBLCH+jk6J2N+bqTvpM\nfdT1bEbv6cZonUpSTxxdr72J5vOj+X1owRPd5Ib0dOKvv464kpILXkxcCCGEEEKI8yGB2iVicmY8\nRzs95Dus2ONOXFZ7nIEvXzuJ7/y1inerW3lpewMZCXH0BcNsONBGKDrnbH7hwHXREsxGPrWokAcW\nFlBxpIs/bT1K+bZ6fv/hEeYVJHP/wnxumpE1YJ22M6mJLh0wOeP0AO/mmZm8W93CD96uYemkVFZM\nOX2h7TiDnq/dMJmPzcripp9sJFFNJTNZsb1lO52JE5i/YDlJptvQezqgfX/k4W4GQNMZWBdqJ2Dy\nYo9v50BLHd5eNwlxUzDr49AbDOjsNpTZjIqLQ2c2o+LMGLOzMDgcQ78AQgghhBBCjCAJ1C4RUzPj\nWbu35bReK4B75ufxmw8O8/0399DY5eV/LC/maKeXjQfaMel1xJsNlKQP3kumlGJeoYN5hQ6+e8s0\nXqlo4M//PMpXXtzF997Yy91zcrlvQT4T0uyD7g9Q0xQJ1KZkJpy27ZqpGRj1imA4zHc+Nu2sPVep\n0WUGOnsDPDBzBamWVDY3bqa2pxad0uEwO3CYHaQUzMGBgbQ+H1ZPJ4fDm0kpjGNdSZiGmbOYkDEP\n664eMoqKSSqbf9bvVQghhBBCiLEggdolYnI0CJqadXowZNTr+OaNU/jcHysAuHtuHtvqOnlj1zHe\n3N3E/MJkdLpzD+1Ltpl4ZNkEPrOkiA9rO/jz1qP8bnMdv950mCuLU7h/QQHXTcvAZBg4dHFfs5Os\nRDOJVuNpx0y0GHl4SRE2k+GcQyqTrUaUgnZ3H0opZqfNpiC+gBZPCx2+Djq8HTS6G9nftf/E8U3J\n/F6nsSDdwNKUTK7KWUy+yqQytIb4lLRznrMQQgghhBh/9Ho9M2fOJBAIYDAY+NSnPsVXvvIVdDod\n69ev57bbbqOoqKi//jPPPMO1116LUor777+fF154AYBgMEhWVhYLFizgzTff7K9/++2309zczJYt\nW0btHCRQu0SU5SdhNupYVDx4wovrpmWweGIKep2OolQbZmMkmHL7g/3z04ZKp1MsnpjK4omptLp8\nvLy9gT9vPcoX/7yDVHsc98zPZeX8fPIckcQhNc2uswZhT9w0dUifa9DrcFhNtLv9/WVJ5iSSzEkD\n6vmCPjp9nTT3NrOt4SBaWMcVmYv45NTFWI1Wmg7uAyA+JfW8zlsIIYQQQowPFouFnTt3AtDa2sp9\n992H0+nke9/7HhBZ8PrkwOs4m81GVVUVXq8Xi8XC2rVrycnJGVCnu7ubiooK7HY7tbW1TJgwYVTO\nQXfuKmI8yE6yUPXkDSycMHigppTi95++gt88OA+ArEQLJRmR4YrzzzNQO1l6vJkvXj2RDV+/mt8+\nNJ/SvER+sf4Qy374Pg/99p+sqWqmtq33vBOQnEmqPY6OkwK1wZgNZrLt2czJmEOucSmBnvlcXXgF\nVmMkcHR1tGMyW4iz2s56HCGEEEIIMf6lp6fz3HPP8bOf/SyS5fscbr75Zv72t78BUF5ezr333jtg\n+2uvvcatt97KypUrWbVq1ai0GaRH7ZJi0J897j51+4opGRzr9jHrlLXShkOvU1w9JZ2rp6TT2O3l\nxX8eZdW2eh59ITLccrC5c8ORYjfR7u4bcv2DrW6UiqyhdpyrvZ341DTJ5CiEEEIIMcoO76ygt7tr\nRI9pS0qmqHTuee0zYcIEQqEQra2tAGzcuJHS0tL+7a+++irF0fVyV65cyfe//31uueUWdu/ezcMP\nP8zGjRv765aXl/Pd736XjIwM7rrrLr71rW+NwFmdTgK1y9iXr53EJxfmDylz4/nISbLw1esn8z+v\nmcR71S1sOtjOiskZI3LsVHscuxu6h1Q3HNb4+95mitPsWEyRc+zzevB73GRNKhmR9gghhBBCiPHn\nTEMfAWbNmkVdXR3l5eXcfPPNA7a1tLRw4MABlixZglIKo9FIVVUVM2bMGPE2SqB2GTMb9eQmW89d\ncZiMeh03zsjixhlZI3bM8+lRe2P3MfYcc/Lje2b3l7k62gEkkYgQQgghxEVwvj1fo6W2tha9Xk96\nejrV1dXnrP/xj3+cr33ta6xfv56Ojo7+8pdeeomurq7+RCROp5Py8nKefvrpEW+zzFET40qqPQ63\nP4gvEDprPX8wxA/f2ce0rARum31iAqjeaCI5OxdbcvJZ9hZCCCGEEJeKtrY2Hn30UR577LEhT315\n+OGH+bd/+zdmzpw5oLy8vJw1a9ZQV1dHXV0dFRUVozZPTXrUxLiSajcB0O72n7U38Fcbamno8vLH\nz8wcsPRAUkYmSRmZo95OIYQQQggxdrxeL6Wlpf3p+R944AG++tWv9m8/dY7ad77zHe6+++7+97m5\nuTz++OMDjllXV8eRI0dYuHBhf1lRURGJiYls3bqVBQsWjOg5SKAmxpXji163u/sGDdS8fSG+/+Ye\nyv9Zz/XTMlg6SYY4CiGEEEJcbkKhM4++Wr58OT09PYNuc7vdg9Zfvnw5AI2Njadt37Fjx/AaeQ4S\nqIlxJSUaqA2Wov9Ai4vH/vwR+1pc/I/lxXz1OkkYIoQQQgghxicJ1MS4cvLQx+M0TeOViga+u3oP\nVpOe3z98BVeVSE+aEEIIIYQYvyRQE+PKyUMfAXr9Qf7XX6t47aNGFk1I4dmVpWQkmMeyiUIIIYQQ\nQlwwCdTEuGI26rHHGWh3+wmEwtz1i83sb3HxlWtLeGzFRPQ6WcRaCCGEEEKMfxKoiXEn1W6iw91H\nZWMPNc0ufnDnTFZekT/WzRJCCCGEEGLEyDpqYtxJscfR7vaztbYTgGunZYxxi4QQQgghhBhZEqiJ\ncSfVbooEaoc7mJhu75+3JoQQQgghxKVCAjUx7qTY42h1+dle18WCIsdYN0cIIYQQQsQYu93e//qt\nt96ipKSEI0eO9JeVlpaycuXKAfs89NBDWK1WXC5Xf9mXv/xllFK0t7f3l/31r39FKUVNTc0onoEE\namIcSrXH0e0J4PYHWTAhZaybI4QQQgghYtR7773H448/zttvv01BQQEA1dXVhEIhNm7cSG9v74D6\nEydOZPXq1QCEw2HWrVtHTk7OgDrl5eUsWbKE8vLyUW27JBMR487xtdQAFkqPmhBCCCFEzPLt6yTk\nCozoMfXxRsyTz/0bcMOGDTzyyCO89dZbFBcX95eXl5fzwAMPUF1dzerVq7nvvvv6t61cuZIXX3yR\nT37yk6xfv57Fixfz9ttv9293u91s2rSJ999/n1tvvZXvfe97I3puJ5MeNTHuHJ+TVpRqI13WTBNC\nCCGEEKfw+/3cfvvt/PWvf2XKlCkDtr344ousXLmSe++997ResZKSEtra2ujq6qK8vPy04ZGrV6/m\nxhtvpKSkhJSUFCoqKkbtHKRHTYw7KbZIj5rMTxNCCCGEiG1D6fkaDUajkSuvvJLnn3+en/zkJ/3l\n27dvJzU1lfz8fHJycnj44Yfp7OzE4TjRzjvvvJNVq1axdetWfvnLXw44bnl5OV/60peASO9beXk5\nc+fOHZVzkEBNjDsFKTYMOsXyyelj3RQhhBBCCBGDdDodL730Etdccw3//u//zre+9S0gEmjV1NRQ\nWFgIgNPp5NVXX+WRRx7p3/eee+5h7ty5PPjgg+h0JwYgdnZ2sm7dOiorK1FKEQqFUErxwx/+EKXU\nyJ/DiB9RiFGWmWhmy7eu4Ybpsn6aEEIIIYQYnNVq5W9/+xt/+tOfeP755wmHw7z00ktUVlZSV1dH\nXV0dq1evPm34Y0FBAU8//TRf+MIXBpS/8sorPPDAAxw5coS6ujrq6+spKipi48aNo9J+6VET45Ks\nnSaEEEIIIc7F4XCwZs0ali1bRkNDAzk5OWRnZ/dvX7ZsGXv37qWpqWnAfp///OdPO1Z5eTnf+MY3\nBpTdddddlJeXs2zZshFvu9I0bcQPeibz5s3Ttm/fftE+TwghhBBCCHFxVVdXM3Xq1LFuRkwY7LtQ\nSlVomjbvXPvK0EchhBBCCCGEiDESqAkhhBBCCCFEjJFATQghhBBCCDGiLub0qlh1od+BBGpCCCGE\nEEKIEWM2m+no6LisgzVN0+jo6MBsNg/7GOfM+qiU+g1wC9CqadqMaNlTwG1AGGgFHtI07diwWyGE\nEEIIIYS4JOTm5tLQ0EBbW9tYN2VMmc1mcnNzh73/ObM+KqWWAW7gDycFagmapjmjrx8Hpmma9ui5\nPkyyPgohhBBCCCEuZyOW9VHTtA1A5yllzpPe2oDLt19TCCGEEEIIIUbYsBe8Vko9DXwK6AGuHrEW\nCSGEEEIIIcRlbtjJRDRN+7amaXnAn4DHzlRPKfU5pdR2pdT2y32cqhBCCCGEEEIMxTnnqAEopQqB\nN4/PUTtlWz7w1mDbBqnbBhw5/2aOmFSgfQw/X4wNue5C7oHLm1x/cZzcC0LugctbrFz/Ak3T0s5V\naVhDH5VSkzRNOxB9extQM5T9htKg0aSU2j6UiXvi0iLXXcg9cHmT6y+Ok3tByD1weRtv138o6fnL\ngeVAqlKqAfg34Gal1GQi6fmPAOfM+CiEEEIIIYQQYmjOGahpmnbvIMXPj0JbhBBCCCGEEEJwAclE\nxqnnxroBYkzIdRdyD1ze5PqL4+ReEHIPXN7G1fUfUjIRIYQQQgghhBAXz+XWoyaEEEIIIYQQMU8C\nNSGEEEIIIYSIMTEbqCml8pRS7yul9iql9iilvhQtdyil1iqlDkSfk6PlKdH6bqXUz045lkkp9ZxS\nar9SqkYpddcZPnOuUqpSKXVQKfVTpZSKli9TSu1QSgWVUneP9rlf7mLs2j8aLd+plNqklJo22ucv\nYu4eeEgp1Ra9B3YqpT472ud/uYux6//jk679fqVU92ifvzghxu6FAqXUe0qp3Uqp9Uqp3NE+/8vd\nGF3/p5VS9Uop9ynl8ltwDIzUPaCUij/pv+U7lVLtSqlnz/CZsRMPaJoWkw8gC5gTfR0P7AemAf8J\nfDNa/k3g/0Rf24AlRJYK+Nkpx/oe8L+jr3VA6hk+85/AQkABbwM3RcsLgVnAH4C7x/q7udQfMXbt\nE06q83FgzVh/P5fDI8bugYdOPaY8Lp/rf0qd/wn8Zqy/n8vpEUv3AvAy8GD09Qrgj2P9/VzqjzG6\n/gujn+s+pbwQ+S04ru+BU45bASw7w7aYiQditkdN07QmTdN2RF+7gGogh8gC27+PVvs9cHu0Tq+m\naZsA3yCHexj4j2i9sKZpp61IrpTKIvKjfIsWuRp/OOnYdZqm7SaybpwYZTF27Z0nVbUBkn3nIoil\ne0BcfDF8/e8Fyi/k3MT5ibF7YRqwLvr6/WgbxCi62Nc/um2LpmlNg5TLb8ExMML3AABKqRIgHdg4\nyLaYigdiNlA7mVKqECgDtgIZJ/0DagYyzrFvUvTlU9HuypeVUoPtkwM0nPS+IVomxlAsXHul1BeV\nUoeI/PXm8eGchxi+WLgHgLuiwyBeUUrlDeM0xDDFyPVHKVUAFHHih7q4yGLgXtgF3Bl9fQcQr5RK\nOd/zEMNzka6/iGEXcg+cYiXwYjQQO1VMxQMxH6gppezAq8CXT+ndIPoFn6uHwwDkAps1TZsDfAg8\nMxptFSMrVq69pmk/1zStGPgG8J3z3V8MX4zcA28AhZqmzQTWcuIveGKUxcj1P24l8IqmaaFh7i8u\nQIzcC18DrlJKfQRcBTQCcj9cBDFy/cUYGoF74GQrGSejI2I6UFNKGYlclD9pmvZatLgl2i15vHuy\n9RyH6QA8wPH9XwbmKKX0J00o/D6R/+CePDE4N1omxkCMXvtVyHC4iyZW7gFN0zo0TfNHy38NzL3A\nUxNDECvX/yTj5n/sl5pYuRc0TTumadqdmqaVAd+OlklymVF2ka/CDSbmAAABvElEQVS/iEEjdA8c\nP9ZswKBpWkX0fUzHAzEbqEUzrDwPVGua9l8nbXodeDD6+kFg9dmOE42y3wCWR4uuAfZqmhbSNK00\n+vhutPvUqZRaGP3sT53r2GJ0xNK1V0pNOumQHwMOXNjZiaGIsXsg66RDfpzI+HgximLp+kfbMwVI\nJvJXeHERxdK9oJRKVUod/930BPCbCz9DcTYX+/qPaOPFiBipe+AkA+Yax3w8oMVARpfBHkQytmjA\nbmBn9HEzkAK8R+QH87uA46R96oBOwE1kTOm0aHkBsCF6rPeA/DN85jygCjgE/AxQ0fL50eP1Evmr\nzJ6x/n4u5UeMXfufAHuibXgfmD7W38/l8Iixe+A/ovfArug9MGWsv59L/RFL1z+67UngB2P9vVyO\nj1i6F4C7o5+3n0jvetxYfz+X+mOMrv9/RvcLR5+fjJbLb8Fxfg9Et9Vyjv+Pn+W/ARf9Hjj+wUII\nIYQQQgghYkTMDn0UQgghhBBCiMuVBGpCCCGEEEIIEWMkUBNCCCGEEEKIGCOBmhBCCCGEEELEGAnU\nhBBCCCGEECLGSKAmhBBCCCGEEDFGAjUhhBBCCCGEiDH/H1ulnd0lC1mAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf054c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import talib as ta\n",
    "import tushare as ts\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data = ts.get_k_data('600036', start='2016-01-01', end='2016-12-31', ktype='D',autype='qfq')\n",
    "data.index = pd.to_datetime(data['date'],format='%Y-%m-%d')\n",
    "\n",
    "data['SMA'] = ta.abstract.MA(data, 20)\n",
    "data['WMA'] = ta.abstract.WMA(data, 20)\n",
    "data['TRIMA'] = ta.abstract.TRIMA(data, 20)\n",
    "data['EMA']  = ta.abstract.EMA(data, 20)\n",
    "data['DEMA'] = ta.abstract.DEMA(data, 20)\n",
    "data['KAMA'] = ta.abstract.KAMA(data, 20)\n",
    "\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data['SMA'], alpha=0.5)\n",
    "plt.plot(data['WMA'], alpha=0.5)\n",
    "plt.plot(data['TRIMA'], alpha=0.5)\n",
    "plt.plot(data['EMA'], alpha=0.5)\n",
    "plt.plot(data['DEMA'], alpha=0.5)\n",
    "plt.plot(data['KAMA'], alpha=0.5)\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 如何用均线构建策略？\n",
    "**两条均线的三种交易方法**\n",
    "1. 当均线金叉（短期大于长期均线）时候买进，死叉（短期小于长期）时卖出。 \n",
    "2. 当价格上穿两条均线时买入，但价格下穿其中一条均线时卖出。 \n",
    "3. 当两条均线都处于向上方向时买入，当两条均线都处于下跌方向时卖出。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  date    open   close    high     low    volume    code  \\\n",
      "date                                                                       \n",
      "2016-12-26  2016-12-26  16.982  17.166  17.185  16.818  163431.0  600036   \n",
      "2016-12-27  2016-12-27  17.147  17.127  17.234  17.069  100907.0  600036   \n",
      "2016-12-28  2016-12-28  17.137  17.040  17.185  16.915  267871.0  600036   \n",
      "2016-12-29  2016-12-29  17.021  16.915  17.040  16.857  284391.0  600036   \n",
      "2016-12-30  2016-12-30  16.953  17.021  17.031  16.895  227259.0  600036   \n",
      "\n",
      "                 SMA        WMA      TRIMA        EMA       DEMA       KAMA  \\\n",
      "date                                                                          \n",
      "2016-12-26  17.80295  17.624248  17.949645  17.612742  17.439271  17.775991   \n",
      "2016-12-27  17.75265  17.559871  17.881600  17.566480  17.367676  17.727987   \n",
      "2016-12-28  17.70765  17.492000  17.801855  17.516339  17.291103  17.682510   \n",
      "2016-12-29  17.65930  17.416510  17.713145  17.459069  17.203467  17.627948   \n",
      "2016-12-30  17.61625  17.355719  17.621536  17.417348  17.148342  17.593543   \n",
      "\n",
      "                EMA10      EMA40  \n",
      "date                              \n",
      "2016-12-26  17.419060  17.655711  \n",
      "2016-12-27  17.365958  17.629920  \n",
      "2016-12-28  17.306693  17.601143  \n",
      "2016-12-29  17.235476  17.567673  \n",
      "2016-12-30  17.196481  17.541006  \n"
     ]
    }
   ],
   "source": [
    "#计算数据：\n",
    "data['EMA10'] = ta.abstract.EMA(data, 10)\n",
    "data['EMA40'] = ta.abstract.EMA(data, 40)\n",
    "\n",
    "print data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-03-04 00:00:00 date       2016-03-04\n",
      "open           14.071\n",
      "close          14.842\n",
      "high           14.889\n",
      "low            13.959\n",
      "volume    1.64468e+06\n",
      "code           600036\n",
      "SMA           13.7968\n",
      "WMA           13.8392\n",
      "TRIMA         13.7523\n",
      "EMA           13.9767\n",
      "DEMA          13.7844\n",
      "KAMA          13.8252\n",
      "EMA10         13.9576\n",
      "EMA40         14.2606\n",
      "Name: 2016-03-04 00:00:00, dtype: object\n"
     ]
    }
   ],
   "source": [
    "buy_time=[]\n",
    "buy_price=[]\n",
    "\n",
    "sell_time=[]\n",
    "sell_price=[]\n",
    "\n",
    "data = data.dropna()\n",
    "it = data.iterrows()\n",
    "t0, p0 = next(it)\n",
    "pos = 0\n",
    "\n",
    "print t0, p0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "buy_time: 19\n",
      "buy_price 19\n",
      "sell_time 19\n",
      "sell_price 19\n"
     ]
    }
   ],
   "source": [
    "#当价格上穿两条均线时买入，当价格下穿其中一条均线时卖出。\n",
    "\n",
    "for t1, p1 in it:\n",
    "    if  pos == 0 and p1.close > p0.EMA10 and p1.close > p0.EMA40 and (p0.close < p0.EMA40 or p0.close < p0.EMA10):\n",
    "        buy_time.append(t1)\n",
    "        buy_price.append(p1.close)\n",
    "        pos = 1\n",
    "    elif pos == 1 and (p1.close < p0.EMA10 or p1.close < p0.EMA40) :\n",
    "        sell_time.append(t1)\n",
    "        sell_price.append(p1.close)\n",
    "        pos = 0\n",
    "    t0, p0 = t1, p1\n",
    "\n",
    "print 'buy_time:', len(buy_time)\n",
    "print 'buy_price', len(buy_price)\n",
    "print 'sell_time', len(sell_time)\n",
    "print 'sell_price', len(sell_price)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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00zKRVWWQsgkydkL2PoiaDH3HqfN7mJ7/V08IIYToRLqupvlNmwahoc2f/9JL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\nLmOjJkmSJEldxkZNkiRJkrrM/wPUGT5zMGj5/wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf51c320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "mpl.rc('xtick', labelsize=8)\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.plot(data['close'], c='b')\n",
    "plt.plot(data['EMA10'], alpha=0.5)\n",
    "plt.plot(data['EMA40'], alpha=0.5)\n",
    "plt.scatter(buy_time, buy_price, c='r', marker='^', linewidths=3)\n",
    "plt.scatter(sell_time, sell_price, c='g', marker='v', linewidths=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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qW50W5qUqNISXZQDAR/HqAACAjdZWNetQZ48WMTUSAHAClDYAAGxUXOaR2+XQ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\n2D9T2E2k18ckzwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf8a9d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#收益绩效显示\n",
    "\n",
    "import numpy as np\n",
    "money = np.array(sell_price) - np.array(buy_price)\n",
    "money = list(money)\n",
    "money.insert(0,0)\n",
    "money = np.array(money)\n",
    "capital = money.cumsum()\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.plot(capital)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 作业：\n",
    "将另外两个策略参考以上代码完成图形。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
